Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread boB Stepp
On Sat, Sep 21, 2019 at 9:01 PM Michael Torrie  wrote:
>
> On 9/21/19 12:51 PM, Dave Martin wrote:
> > You seem to have the expectation that you know more about coding than
> > me and that you can insult me without me retaliating. If I were you,
> > I would leave this forum and never respond to another person question
> > again, if you think that you can rudely ransack your way through what
> > is supposed to be a helpful tool.
>
> Not so. He was not rude nor was he insulting.  In fact he was downright
> patient. You've been asked several times to read the tutorial (or
> relevant parts of it) as that teaches you some things you have to know
> in order to use Python.  I'm sorry that rather than do that you chose to
> react poorly to the good advice you were given.

Thank you very much Michael and Chris!  That was very kind of you.
-- 
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Re: [Tutor] Most efficient way to replace ", " with "." in a array and/or dataframe

2019-09-21 Thread Cameron Simpson

On 21Sep2019 20:42, Markos  wrote:

I have a table.csv file with the following structure:

, Polyarene conc ,, mg L-1 ,,,
Spectrum, Py, Ace, Anth,
1, "0,456", "0,120", "0,168"
2, "0,456", "0,040", "0,280"
3, "0,152", "0,200", "0,280"

I open as dataframe with the command:
data = pd.read_csv ('table.csv', sep = ',', skiprows = 1)

[...]

And the data_array variable gets the fields in string format:
[['0,456' '0,120' '0,168']

[...]

Please see the documentation for the read_csv function here:

 
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html?highlight=read_csv#pandas.read_csv

In particular, because you have values formatted in the European style 
with "," for the decimal marker (and possibly "." for the thousands 
marker), you want to set the "decimal=" parameter of read-csv to ",".


This is better than trying to mangle the data yourself, better to just 
correctly specify the dialect (i.e. set decimal= in your call).


Cheers,
Cameron Simpson 
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Michael Torrie
On 9/21/19 12:51 PM, Dave Martin wrote:
> You seem to have the expectation that you know more about coding than
> me and that you can insult me without me retaliating. If I were you,
> I would leave this forum and never respond to another person question
> again, if you think that you can rudely ransack your way through what
> is supposed to be a helpful tool.

Not so. He was not rude nor was he insulting.  In fact he was downright
patient. You've been asked several times to read the tutorial (or
relevant parts of it) as that teaches you some things you have to know
in order to use Python.  I'm sorry that rather than do that you chose to
react poorly to the good advice you were given.
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Re: Most efficient way to replace "," with "." in a array and/or dataframe

2019-09-21 Thread MRAB

On 2019-09-22 00:42, Markos wrote:

Hi,

I have a table.csv file with the following structure:

, Polyarene conc ,, mg L-1 ,,,
Spectrum, Py, Ace, Anth,
1, "0,456", "0,120", "0,168"
2, "0,456", "0,040", "0,280"
3, "0,152", "0,200", "0,280"

I open as dataframe with the command:

data = pd.read_csv ('table.csv', sep = ',', skiprows = 1)

and the variable "data" has the structure:

Spectrum,  Py,  Ace, Anth,
0  1 0,456  0,120  0,168
1  2 0,456 0,040 0,280
2  3 0,152 0,200 0,280

I copy the numeric fields to an array with the command:

data_array = data.values [:, 1:]

And the data_array variable gets the fields in string format:

[['0,456' '0,120' '0,168']
['0,456' '0,040' '0,280']
['0,152' '0,200' '0,280']]

The only way I found to change comma "," to dot "." was using the method
replace():

for i, line in enumerate (data_array):
data_array [i] = ([float (element.replace (',', '.')) for element in
data_array [i]])

But I'm wondering if there is another, more "efficient" way to make this
change without having to "iterate" all elements of the array with a loop
"for".

Also I'm also wondering if there would be any benefit of making this
modification in dataframe before extracting the numeric fields to the array.

Please, any comments or tip?

I'd suggest doing all of the replacements in the CSV file first, 
something like this:


import re

with open('table.csv') as file:
csv_data = file.read()

# Convert the decimal points and also make them look numeric.
csv_data = re.sub(r'"(-?\d+),(\d+)"', r'\1.\2', csv_data)

with open('fixed_table.csv', 'w') as file:
file.write(csv_data)
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Book for Long Short-Term Memory for Sequential Data

2019-09-21 Thread Duc T. Ha
Please, help me the title of a book about Deep Learning with the Recurrent 
Neural Network network structure using Long Short-term Memory for Sequential 
Data (time-series data). The R or Python language is OK. I need a book like 
hand-on because I do not work in information technology. Thank you so much for 
your help.
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Most efficient way to replace "," with "." in a array and/or dataframe

2019-09-21 Thread Markos

Hi,

I have a table.csv file with the following structure:

, Polyarene conc ,, mg L-1 ,,,
Spectrum, Py, Ace, Anth,
1, "0,456", "0,120", "0,168"
2, "0,456", "0,040", "0,280"
3, "0,152", "0,200", "0,280"

I open as dataframe with the command:

data = pd.read_csv ('table.csv', sep = ',', skiprows = 1)

and the variable "data" has the structure:

Spectrum,  Py,  Ace, Anth,
0  1 0,456  0,120  0,168
1  2 0,456 0,040 0,280
2  3 0,152 0,200 0,280

I copy the numeric fields to an array with the command:

data_array = data.values [:, 1:]

And the data_array variable gets the fields in string format:

[['0,456' '0,120' '0,168']
['0,456' '0,040' '0,280']
['0,152' '0,200' '0,280']]

The only way I found to change comma "," to dot "." was using the method 
replace():


for i, line in enumerate (data_array):
data_array [i] = ([float (element.replace (',', '.')) for element in 
data_array [i]])


But I'm wondering if there is another, more "efficient" way to make this 
change without having to "iterate" all elements of the array with a loop 
"for".


Also I'm also wondering if there would be any benefit of making this 
modification in dataframe before extracting the numeric fields to the array.


Please, any comments or tip?

Thanks you,

Markos

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Re: python is bugging

2019-09-21 Thread Piet van Oostrum
Dave Martin  writes:

> On Saturday, September 21, 2019 at 12:44:27 PM UTC-4, Brian Oney wrote:
>> On Sat, 2019-09-21 at 08:57 -0700, Dave Martin wrote:
>> > On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin
>> > wrote:
>> > > what does expected an indented block
>> > 
>> > *what does an indented block mean?
>> 
>> It means that the line of code belongs to a certain body as defined
>> above its position.  
>> 
>> Please follow the tutorial.
>> 
>> https://docs.python.org/3/tutorial/index.html
>
> df.to_csv(r"faststars.csv", index=None,header=True)
> # starAbsMags=df['radial_velocity']
>
> #GaiaPandasEscapeVelocityCode
>
> import pandas as pd
> import numpy as np
> from astropy.io import fits
> import astropy
> import matplotlib.pyplot as plt
>
>
> #get the combined data and load the fits files
>
> fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
> df=pd.DataFrame()
> with fits.open(fits_filename) as data:
> df=pd.DataFrame(data[1].data)
> df.columns=[c.lower() for c in df.columns]
> print("Columns.")
> print(df.columns.values)
> print("n/n")
> #print out some data meta info to see what we're working with
> print("Number of stars:")
> nstars=len(df)
> print(nstars)
> distances = (df['parallax']/1000)
> starAbsMags =df['phot_g_mean_mag']
> df = df[(df.parallax_over_error > 10 ) ]
> print("Left after filter: " +str(len(df)/float(nstars)*100)+" %")
> df.hist(column='radial_velocity')
> #fastdf=df[(df.radial_velocity > 200) | (df.radial_velocity < -200)]
> fastdf=df[(df.radial_velocity > 550)|(df.radial_velocity<-550)]
> print(len(fastdf))
> #print(fastdf)# starTemps=df['astrometric_weight_al']
> # df.plot.scatter("radial_velocity", "astrometric_weight_al", s=1,
> c="radial_velocity", colormap="plasma")
> # #df=df[(df.radial_velocity>=-550)]
> # #plt.axis([0,400,-800,-550])
> # #plt.axis([0,400,550,800])
> # plt.xlabel('weight(Au)')
> # plt.ylabel('Speed')
> # plt.title('Gaia Speed vs Weight')
>
> this is my code the error is on line 15

1) What is line 15?
2) Always copy/paste the complete error message with your question.
3) Your with body is not indented:

with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)
df.columns=[c.lower() for c in df.columns]
print("Columns.")
print(df.columns.values)

But how should WE know how many lines belong to the body of the with statements?
You should know that and indicate that with the indentation as described in the 
tutorial.

And then there's also a strange line:
c="radial_velocity", colormap="plasma")

Probably meant to be a continuation of the previous, commented line, but as 
written it isn't.
-- 
Piet van Oostrum 
WWW: http://piet.vanoostrum.org/
PGP key: [8DAE142BE17999C4]
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Re: python is bugging

2019-09-21 Thread Piet van Oostrum
Dave Martin  writes:

> On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin wrote:
>> what does expected an indented block
>
> *what does an indented block mean?

From the tutorial, https://docs.python.org/3/tutorial/

3.2. First Steps Towards Programming:

The body of the loop is indented: indentation is Python’s way of grouping 
statements. At the interactive prompt, you have to type a tab or space(s) for 
each indented line. In practice you will prepare more complicated input for 
Python with a text editor; all decent text editors have an auto-indent 
facility. When a compound statement is entered interactively, it must be 
followed by a blank line to indicate completion (since the parser cannot guess 
when you have typed the last line). Note that each line within a basic block 
must be indented by the same amount.

-- 
Piet van Oostrum 
WWW: http://piet.vanoostrum.org/
PGP key: [8DAE142BE17999C4]
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Re: Document Entire Apps

2019-09-21 Thread Albert-Jan Roskam


On 15 Sep 2019 07:00, Sinardy Gmail  wrote:

I understand that we can use pydoc to document procedures how about the 
relationship between packages and dependencies ?



==》 Check out snakefood to generate dependency graphs: 
http://furius.ca/snakefood/. Also, did you discover sphinx already?

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Re: python is bugging

2019-09-21 Thread DL Neil via Python-list

On 22/09/19 5:08 AM, Dave Martin wrote:

On Saturday, September 21, 2019 at 12:44:27 PM UTC-4, Brian Oney wrote:

On Sat, 2019-09-21 at 08:57 -0700, Dave Martin wrote:

On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin
wrote:

what does expected an indented block


*what does an indented block mean?


It means that the line of code belongs to a certain body as defined
above its position.

Please follow the tutorial.

...


this is my code the error is on line 15



Did you follow the tutorial?

Is it easy (for *volunteer* helpers) to work-out which is line 15?

Back to the original question: Is the (loop) code actually indented?

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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Chris Angelico
On Sun, Sep 22, 2019 at 4:56 AM Dave Martin  wrote:
>
> On Saturday, September 21, 2019 at 2:46:15 PM UTC-4, boB Stepp wrote:
> > On Sat, Sep 21, 2019 at 1:01 PM Dave Martin  wrote:
> > >
> > > On Saturday, September 21, 2019 at 1:33:12 PM UTC-4, Terry Reedy wrote:
> > > > On 9/21/2019 11:53 AM, Dave Martin wrote:
> > [...]
> > > > > #get the combined data and load the fits files
> > > > >
> > > > > fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
> > > > > df=pd.DataFrame()
> > > > > with fits.open(fits_filename) as data:
> > > > > df=pd.DataFrame(data[1].data)
> > > >
> > > > A 'with' statement is a compound statement.  It must be followed by a
> > > > 'suite', which usually consists of an indented block of statements.
> > > > This is line 17 from the first non-blank line you posted.
> > [...]
> >
> > > Can you provide an example of how to use the suite feature. Thank you.
> >
> > Dave, you seem to have some expectation that you should be given the
> > answer.  That is not how help is given in this forum.  You are
> > expected to be doing the needed to work before being helped further.
> > You have been referred to the tutorial multiple times.  Please read
> > it!  Indentation is so fundamental to structuring Python code that it
> > is clear that you need grounding in Python fundamentals.  Otherwise
> > you are essentially Easter-egging through a code sample that you have
> > no true understanding of.
> >
> > If you must continue to Easter-egg Python instead of reading the
> > tutorial (or something equivalent) then check the section of the
> > tutorial on files.  You will find examples of the use of "with" there.
> >
> You seem to have the expectation that you know more about coding than me and 
> that you can insult me without me retaliating. If I were you, I would leave 
> this forum and never respond to another person question again, if you think 
> that you can rudely ransack your way through what is supposed to be a helpful 
> tool.
>

When you ask for help on a public forum, it's usually best to start by
reading the tutorials yourself.

http://www.catb.org/~esr/faqs/smart-questions.html

boB is absolutely correct here: you need to learn the basics before
further questions will be truly productive. We are not here to read
aloud from the tutorial to you. Once you have a basic understanding of
Python's structure, you will be far better able to ask questions and
understand the answers.

ChrisA
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Mirko via Python-list
Am 21.09.2019 um 19:57 schrieb Dave Martin:

> Can you provide an example of how to use the suite feature. Thank you. 
> 

There is no suite feature, Terry just tried to explain indented
blocks to you in simple words. Really, indented blocks are one of
the most basic aspects of Python. You *need* to read the tutorial as
it has been suggested three times now.

Anyway, given the following code:

if name == "Dave":
print("Hello Dave")
print("How are you?)

Programming languages in general cannot exactly understand what that
code means.

It could mean:
"Say 'Hello Dave' and then 'How are you?" if the name is Dave.

But it could also mean:
"Say 'Hello Dave' if the name is Dave and then say "How are you?"
what ever the name is.

So, we need to tell Python which command should be executed if the
name is Dave and which not. Some languages solves this with block
markers:

if name == "Dave" then
   print("Hello Dave")
   print("How are you?)
endif

Or for the other meaning:

if name == "Dave" then
   print("Hello Dave")
endif
print("How are you?)


Python uses indented blocks to make clear which commands belong
together. Indentations are runs of whitespaces (of equal length) at
the beginning of the line:

if name == "Dave":
print("Hello Dave")
print("How are you?")

Or for the other meaning:

if name == "Dave":
print("Hello Dave")
print("How ar you"?)


For your code that means, that you need to indent the lines that
belong to the 'with' block

This is wrong:

with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)
...

What you need is this:

with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)
...

^-- See these spaces in front of the commands. That are indentations
and all consecutive indented lines are an indented block.


Please read the tutorial at
https://docs.python.org/3/tutorial/index.html  (fourth time now ;-) )
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Dave Martin
On Saturday, September 21, 2019 at 2:46:15 PM UTC-4, boB Stepp wrote:
> On Sat, Sep 21, 2019 at 1:01 PM Dave Martin  wrote:
> >
> > On Saturday, September 21, 2019 at 1:33:12 PM UTC-4, Terry Reedy wrote:
> > > On 9/21/2019 11:53 AM, Dave Martin wrote:
> [...]
> > > > #get the combined data and load the fits files
> > > >
> > > > fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
> > > > df=pd.DataFrame()
> > > > with fits.open(fits_filename) as data:
> > > > df=pd.DataFrame(data[1].data)
> > >
> > > A 'with' statement is a compound statement.  It must be followed by a
> > > 'suite', which usually consists of an indented block of statements.
> > > This is line 17 from the first non-blank line you posted.
> [...]
> 
> > Can you provide an example of how to use the suite feature. Thank you.
> 
> Dave, you seem to have some expectation that you should be given the
> answer.  That is not how help is given in this forum.  You are
> expected to be doing the needed to work before being helped further.
> You have been referred to the tutorial multiple times.  Please read
> it!  Indentation is so fundamental to structuring Python code that it
> is clear that you need grounding in Python fundamentals.  Otherwise
> you are essentially Easter-egging through a code sample that you have
> no true understanding of.
> 
> If you must continue to Easter-egg Python instead of reading the
> tutorial (or something equivalent) then check the section of the
> tutorial on files.  You will find examples of the use of "with" there.
> 
> 
> -- 
> boB
Bob,
You seem to have the expectation that you know more about coding than me and 
that you can insult me without me retaliating. If I were you, I would leave 
this forum and never respond to another person question again, if you think 
that you can rudely ransack your way through what is supposed to be a helpful 
tool.

-Dave
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread boB Stepp
On Sat, Sep 21, 2019 at 1:01 PM Dave Martin  wrote:
>
> On Saturday, September 21, 2019 at 1:33:12 PM UTC-4, Terry Reedy wrote:
> > On 9/21/2019 11:53 AM, Dave Martin wrote:
[...]
> > > #get the combined data and load the fits files
> > >
> > > fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
> > > df=pd.DataFrame()
> > > with fits.open(fits_filename) as data:
> > > df=pd.DataFrame(data[1].data)
> >
> > A 'with' statement is a compound statement.  It must be followed by a
> > 'suite', which usually consists of an indented block of statements.
> > This is line 17 from the first non-blank line you posted.
[...]

> Can you provide an example of how to use the suite feature. Thank you.

Dave, you seem to have some expectation that you should be given the
answer.  That is not how help is given in this forum.  You are
expected to be doing the needed to work before being helped further.
You have been referred to the tutorial multiple times.  Please read
it!  Indentation is so fundamental to structuring Python code that it
is clear that you need grounding in Python fundamentals.  Otherwise
you are essentially Easter-egging through a code sample that you have
no true understanding of.

If you must continue to Easter-egg Python instead of reading the
tutorial (or something equivalent) then check the section of the
tutorial on files.  You will find examples of the use of "with" there.


-- 
boB
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Dave Martin
On Saturday, September 21, 2019 at 1:33:12 PM UTC-4, Terry Reedy wrote:
> On 9/21/2019 11:53 AM, Dave Martin wrote:
> > 
> > # starAbsMags=df['radial_velocity']
> > 
> > #GaiaPandasEscapeVelocityCode
> > 
> > import pandas as pd
> > import numpy as np
> > from astropy.io import fits
> > import astropy
> > import matplotlib.pyplot as plt
> > 
> > 
> > #get the combined data and load the fits files
> > 
> > fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
> > df=pd.DataFrame()
> > with fits.open(fits_filename) as data:
> > df=pd.DataFrame(data[1].data)
> 
> A 'with' statement is a compound statement.  It must be followed by a 
> 'suite', which usually consists of an indented block of statements.
> This is line 17 from the first non-blank line you posted.
> 
> Please stop spamming the list with multiple posts.  Do spend a few hours 
> reading the tutorial until you understand my answer.
> https://docs.python.org/3/tutorial/index.html  Also read 
> https://stackoverflow.com/help/minimal-reproducible-example
> so you can ask better questions.
> 
> I presume you got "SyntaxError: expected an indented block".
> A minimal example getting this error is, for instance,
> 
> while True:
> a = 1
> 
> -- 
> Terry Jan Reedy

Can you provide an example of how to use the suite feature. Thank you. 
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Re: Python shows error on line 15 that i cant fix

2019-09-21 Thread Terry Reedy

On 9/21/2019 11:53 AM, Dave Martin wrote:


# starAbsMags=df['radial_velocity']

#GaiaPandasEscapeVelocityCode

import pandas as pd
import numpy as np
from astropy.io import fits
import astropy
import matplotlib.pyplot as plt


#get the combined data and load the fits files

fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
df=pd.DataFrame()
with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)


A 'with' statement is a compound statement.  It must be followed by a 
'suite', which usually consists of an indented block of statements.

This is line 17 from the first non-blank line you posted.

Please stop spamming the list with multiple posts.  Do spend a few hours 
reading the tutorial until you understand my answer.
https://docs.python.org/3/tutorial/index.html  Also read 
https://stackoverflow.com/help/minimal-reproducible-example

so you can ask better questions.

I presume you got "SyntaxError: expected an indented block".
A minimal example getting this error is, for instance,

while True:
a = 1

--
Terry Jan Reedy

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Re: python is bugging

2019-09-21 Thread Dave Martin
On Saturday, September 21, 2019 at 12:44:27 PM UTC-4, Brian Oney wrote:
> On Sat, 2019-09-21 at 08:57 -0700, Dave Martin wrote:
> > On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin
> > wrote:
> > > what does expected an indented block
> > 
> > *what does an indented block mean?
> 
> It means that the line of code belongs to a certain body as defined
> above its position.  
> 
> Please follow the tutorial.
> 
> https://docs.python.org/3/tutorial/index.html

df.to_csv(r"faststars.csv", index=None,header=True)
# starAbsMags=df['radial_velocity']

#GaiaPandasEscapeVelocityCode

import pandas as pd
import numpy as np
from astropy.io import fits
import astropy
import matplotlib.pyplot as plt


#get the combined data and load the fits files

fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
df=pd.DataFrame()
with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)
df.columns=[c.lower() for c in df.columns]
print("Columns.")
print(df.columns.values)
print("n/n")
#print out some data meta info to see what we're working with
print("Number of stars:")
nstars=len(df)
print(nstars)
distances = (df['parallax']/1000)
starAbsMags =df['phot_g_mean_mag']
df = df[(df.parallax_over_error > 10 ) ]
print("Left after filter: " +str(len(df)/float(nstars)*100)+" %")
df.hist(column='radial_velocity')
#fastdf=df[(df.radial_velocity > 200) | (df.radial_velocity < -200)]
fastdf=df[(df.radial_velocity > 550)|(df.radial_velocity<-550)]
print(len(fastdf))
#print(fastdf)# starTemps=df['astrometric_weight_al']
# df.plot.scatter("radial_velocity", "astrometric_weight_al", s=1, 
c="radial_velocity", colormap="plasma")
# #df=df[(df.radial_velocity>=-550)]
# #plt.axis([0,400,-800,-550])
# #plt.axis([0,400,550,800])
# plt.xlabel('weight(Au)')
# plt.ylabel('Speed')
# plt.title('Gaia Speed vs Weight')

this is my code the error is on line 15
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Re: python is bugging

2019-09-21 Thread Brian Oney via Python-list
On Sat, 2019-09-21 at 08:57 -0700, Dave Martin wrote:
> On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin
> wrote:
> > what does expected an indented block
> 
> *what does an indented block mean?

It means that the line of code belongs to a certain body as defined
above its position.  

Please follow the tutorial.

https://docs.python.org/3/tutorial/index.html

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Re: python is bugging

2019-09-21 Thread Dave Martin
On Saturday, September 21, 2019 at 11:55:29 AM UTC-4, Dave Martin wrote:
> what does expected an indented block

*what does an indented block mean?
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python is bugging

2019-09-21 Thread Dave Martin
what does expected an indented block
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Python shows error on line 15 that i cant fix

2019-09-21 Thread Dave Martin


# starAbsMags=df['radial_velocity']

#GaiaPandasEscapeVelocityCode

import pandas as pd
import numpy as np
from astropy.io import fits
import astropy
import matplotlib.pyplot as plt


#get the combined data and load the fits files

fits_filename="Gaia_DR2/gaiadr2_100pc.fits"
df=pd.DataFrame()
with fits.open(fits_filename) as data:
df=pd.DataFrame(data[1].data)
df.columns=[c.lower() for c in df.columns]
print("Columns.")
print(df.columns.values)
print("n/n")
#print out some data meta info to see what we're working with
print("Number of stars:")
nstars=len(df)
print(nstars)
distances = (df['parallax']/1000)
starAbsMags =df['phot_g_mean_mag']
df = df[(df.parallax_over_error > 10 ) ]
print("Left after filter: " +str(len(df)/float(nstars)*100)+" %")
df.hist(column='radial_velocity')
#fastdf=df[(df.radial_velocity > 200) | (df.radial_velocity < -200)]
fastdf=df[(df.radial_velocity > 550)|(df.radial_velocity<-550)]
print(len(fastdf))
#print(fastdf)# starTemps=df['astrometric_weight_al']
# df.plot.scatter("radial_velocity", "astrometric_weight_al", s=1, 
c="radial_velocity", colormap="plasma")
# #df=df[(df.radial_velocity>=-550)]
# #plt.axis([0,400,-800,-550])
# #plt.axis([0,400,550,800])
# plt.xlabel('weight(Au)')
# plt.ylabel('Speed')
# plt.title('Gaia Speed vs Weight')

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