Hello,
i have a question about file import via csv.
My config looks like this:
cat import_csv.conf
# EXAMPLE CONFIGURATION FILE FOR IMPORTING FROM CSV FILES
#
# Copyright (c) 2009-2019 Tom Keffer <x> and Gary Roderick.
# See the file LICENSE.txt for your rights.
##############################################################################
# Specify the source. Available options are:
# CSV - import obs from a single CSV format file
# WU - import obs from a Weather Underground PWS history
# Cumulus - import obs from a one or more Cumulus monthly log files
# WD - import obs from a one or more WD monthly log files
# Format is:
# source = (CSV | WU | Cumulus)
source = CSV
##############################################################################
[CSV]
# Parameters used when importing from a CSV file
# Path and name of our CSV source file. Format is:
# file = full path and filename
file = /daten/dl/99/2019.csv
# The character used to separate fields. Format is:
# delimiter = <single character>
# Default is , (comma).
delimiter = ,
# If there is no mapped interval field how will the interval field be
# determined for the imported records. Available options are:
# derive - Derive the interval field from the timestamp of successive
# records. This setting is best used when the imported
records
# are equally spaced in time and there are no missing
records.
# conf - Use the interval setting from weewx.conf. This setting is
# best used if the records to be imported have been produced
by
# WeeWX using the same archive interval as set in weewx.conf
on
# this machine.
# x - Use a fixed interval of x minutes for every record. This
# setting is best used if the records to be imported are
# equally based in time but there are some missing records.
#
# Note: If there is a mapped interval field then this setting will be
# ignored.
# Format is:
# interval = (derive | conf | x)
interval = derive
# Should the [StdQC] max/min limits in weewx.conf be applied to the
# imported data. This may be useful if the source has extreme values
that
# are clearly incorrect for some observations. Available options are:
# True - weewx.conf [StdQC] max/min limits are applied.
# False - weewx.conf [StdQC] max/min limits are not applied.
# Format is:
# qc = (True | False)
qc = True
# Should any missing derived observations be calculated from the
imported
# data if possible. Available options are:
# True - Any missing derived observations are calculated.
# False - Any missing derived observations are not calculated.
# Format is:
# calc_missing = (True | False)
calc_missing = True
# Specify how imported data fields that contain invalid data (eg a
numeric
# field containing non-numeric data) are handled. Available options are:
# True - The invalid data is ignored, the WeeWX target field is set
to
# None and the import continues.
# False - The import is halted.
# Format is:
# ignore_invalid_data = (True | False)
# Default is True.
ignore_invalid_data = True
# Imported records are written to archive in transactions of tranche
# records at a time. Increase for faster throughput, decrease to reduce
# memory requirements. Format is:
# tranche = x
# where x is an integer
tranche = 250
# Specify whether a UV sensor was used to produce any UV observations.
# Available options are:
# True - UV sensor was used and UV data will be imported.
# False - UV sensor was not used and any UV data will not be imported.
# UV fields will be set to None/NULL.
# For a CSV import UV_sensor should be set to False if a UV sensor was
# NOT present when the import data was created. Otherwise it may be set
to
# True or omitted. Format is:
# UV_sensor = (True | False)
UV_sensor = false
# Specify whether a solar radiation sensor was used to produce any solar
# radiation observations. Available options are:
# True - Solar radiation sensor was used and solar radiation data
will
# be imported.
# False - Solar radiation sensor was not used and any solar radiation
# data will not be imported. radiation fields will be set to
# None/NULL.
# For a CSV import solar_sensor should be set to False if a solar
radiation
# sensor was NOT present when the import data was created. Otherwise it
may
# be set to True or omitted. Format is:
# solar_sensor = (True | False)
solar_sensor = false
# Date-time format of CSV field from which the WeeWX archive record
# dateTime field is to be extracted. wee_import first attempts to
interpret
# date/time info in this format, if this fails it then attempts to
# interpret it as a timestamp and if this fails it then raises an error.
# Uses Python strptime() format codes.
# raw_datetime_format = Python strptime() format string
raw_datetime_format = %Y-%m-%d
# Does the imported rain field represent the total rainfall since the
last
# record or a cumulative value. Available options are:
# discrete - rain field represents total rainfall since last record
# cumulative - rain field represents a cumulative rainfall reset at
# midnight
# rain = (discrete | cumulative)
rain = cumulative
# Lower and upper bounds for imported wind direction. It is possible,
# particularly for a calculated direction, to have a value (eg -45)
outside
# of the WeeWX limits (0 to 360 inclusive). Format is:
#
# wind_direction = lower,upper
#
# where :
# lower is the lower limit of acceptable wind direction in degrees
# (may be negative)
# upper is the upper limit of acceptable wind direction in degrees
#
# Imported values from lower to upper will be normalised to the range 0
to
# 360. Values outside of the parameter range will be stored as None.
# Default is -360,360.
wind_direction = -360,360
# Map CSV record fields to WeeWX archive fields. Format is:
#
# weewx_archive_field_name = csv_field_name, weewx_unit_name
#
# where:
# weewx_archive_field_name - An observation name in the WeeWX database
# schema.
# csv_field_name - The name of a field from the CSV file.
# weewx_unit_name - The name of the units, as defined in
WeeWX,
# used by csv_field_name. wee_import will
do
# the necessary conversions to the unit
system
# used by the WeeWX archive.
# For example,
# outTemp = Temp, degree_C
# would map the CSV field Temp, in degrees C, to the archive field
outTemp.
#
# A mapping for WeeWX field dateTime is mandatory and the WeeWX unit
name
# for the dateTime mapping must be unix_epoch. For example,
# dateTime = csv_date_and_time, unix_epoch
# would map the CSV field csv_date_and_time to the WeeWX dateTime field
with
# the csv_date_and_time field being interpreted first using the format
# specified at the raw_datetime_format config option and if that fails
as a
# unix epoch timestamp.
#
# Field mapping to the WeeWX usUnits archive field is currently not
# supported. If a usUnits field exists in the CSV data it should not be
# mapped, rather WeeWX unit names should included against each field to
be
# imported in the field map.
#
# WeeWX archive fields that do not exist in the CSV data may be omitted.
# Any omitted fields that are derived (eg dewpoint) may be calculated
# during import using the equivalent of the WeeWX StdWXCalculate service
# through setting the calc-missing parameter above.
[[FieldMap]]
dateTime = date, unix_epoch
outTemp = tavg, degree_C
dayrain = prcp, mm
windDir = wdir, degree_compass
windSpeed = wspd, km_per_hour
barometer = pres, hPa
And my csv like this:
cat 2019.csv
date,tavg,tmin,tmax,prcp,snow,wdir,wspd,wpgt,pres,tsun
2019-01-01,6.3,2.7,7.9,3.7,0,265,24,,1018.3,18
2019-01-02,1.4,-2.2,3.3,0.7,0,308,20,,1023,60
2019-01-03,-1.3,-5,1.2,0.2,0,302,13,,1032.1,1
2019-01-04,0.2,-5.3,3.9,3.3,0,263,14,,1028.1,0
2019-01-05,5.4,1.7,7.5,1.1,0,289,16,,1019.4,12
But i can't import the data, i get an error message.
wee_import --dry-run --verbose --import-config=/daten/dl/99/import_csv.conf
--from=2019-01-01 --to=2019-12-31
Using WeeWX configuration file /etc/weewx/weewx.conf
Starting wee_import...
A CSV import from source file '/daten/dl/99/2019.csv' has been requested.
The following options will be used:
config=/etc/weewx/weewx.conf,
import-config=/daten/dl/99/import_csv.conf
source=/daten/dl/99/2019.csv, from=2019-01-01, to=2019-12-31
dry-run=True, calc_missing=True, ignore_invalid_data=True
tranche=250, interval=derive, date/time_string_format=%Y-%m-%d
delimiter='[]', rain=cumulative, wind_direction=[-360.0, 360.0]
UV=False, radiation=False
Using database binding 'wx_binding', which is bound to database 'weewx.sdb'
Destination table 'archive' unit system is '0x01' (US).
Missing derived observations will be calculated.
All WeeWX UV fields will be set to None.
All WeeWX radiation fields will be set to None.
Observations timestamped after 2019-01-01 00:00:00 CET (1546297200) and up
to and
including 2020-01-01 00:00:00 CET (1577833200) will be imported.
This is a dry run, imported data will not be saved to archive.
Starting dry run import ...
Obtaining raw import data for period 1 ...
Traceback (most recent call last):
File "/usr/share/weewx/wee_import", line 900, in <module>
main()
File "/usr/share/weewx/wee_import", line 830, in main
source_obj.run()
File "/usr/share/weewx/weeimport/weeimport.py", line 368, in run
_raw_data = self.getRawData(period)
File "/usr/share/weewx/weeimport/csvimport.py", line 225, in getRawData
_csv_reader = csv.DictReader(_clean_data, delimiter=self.delimiter)
File "/usr/lib/python3.7/csv.py", line 87, in __init__
self.reader = reader(f, dialect, *args, **kwds)
TypeError: "delimiter" must be a 1-character string
Why can I not import the data? Is it perhaps because there is only the date
without time?
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date,tavg,tmin,tmax,prcp,snow,wdir,wspd,wpgt,pres,tsun
2019-01-01,6.3,2.7,7.9,3.7,0,265,24,,1018.3,18
2019-01-02,1.4,-2.2,3.3,0.7,0,308,20,,1023,60
2019-01-03,-1.3,-5,1.2,0.2,0,302,13,,1032.1,1
2019-01-04,0.2,-5.3,3.9,3.3,0,263,14,,1028.1,0
2019-01-05,5.4,1.7,7.5,1.1,0,289,16,,1019.4,12
2019-01-06,1.7,0.5,2.6,0,0,300,8,,1027.4,0
2019-01-07,2.6,-0.4,5,5.1,0,221,9,,1026.1,0
2019-01-08,4.4,1.8,5.5,11.2,0,250,23,,1003.3,0
2019-01-09,1.5,0.2,2.7,5.2,0,309,19,,1005.3,0
2019-01-10,0.8,-3.1,2.4,0.1,0,311,13,,1021.1,50
2019-01-11,0.3,-3.4,4.4,1.8,0,239,15,,1017.8,0
2019-01-12,4.6,3.7,5.9,4.2,0,262,19,,1011,0
2019-01-13,5.7,4.6,7.7,7.9,0,255,23,,996.9,0
2019-01-14,2.4,-0.9,6.3,0.9,0,289,26,,1001.2,134
2019-01-15,3.1,0.5,5.9,3.9,0,263,25,,1010.3,0
2019-01-16,5.3,3,6.2,0.1,0,238,20,,1008,0
2019-01-17,5,1.8,7,0.5,0,234,19,,1001.1,18
2019-01-18,0,-1.7,2.1,0.4,0,263,15,,1015.8,196
2019-01-19,-1.9,-5.8,2.4,0,0,169,5,,1020.5,352
2019-01-20,-4.2,-8.5,1.1,0,0,99,5,,1020,407
2019-01-21,-4.8,-6.3,-4,0,0,205,7,,1022.8,0
2019-01-22,-5,-9.1,-0.5,0,0,155,7,,1013.1,405
2019-01-23,-6,-8,-2.9,0,0,87,13,,1005.9,18
2019-01-24,-3.8,-4.6,-2.8,0,0,75,10,,1012,0
2019-01-25,-3.7,-5,-2.4,1.1,0,217,7,,1014.8,5
2019-01-26,0.7,-2.8,3.9,7.8,10,216,11,,1003.7,0
2019-01-27,4.2,2.4,7.3,1.3,0,185,12,,991.8,40
2019-01-28,3.3,0.8,6,1.1,0,207,12,,992.4,178
2019-01-29,0.8,-3.3,2.7,0.5,0,241,13,,1003.3,93
2019-01-30,-1,-4.5,2.6,0,0,106,11,,1001,402
2019-01-31,0.4,-2.4,4.6,0,0,147,8,,1000.8,315
2019-02-01,-0.2,-4.3,3.1,0.5,0,103,9,,996.8,0
2019-02-02,0.7,0.2,1.6,4.9,0,190,8,,997.4,0
2019-02-03,0.4,-0.2,0.7,8.1,0,307,10,,1013.2,0
2019-02-04,-0.2,-2.8,3.2,0,40,221,9,,1028,323
2019-02-05,0.5,-3.3,2.3,0,30,218,11,,1027.5,11
2019-02-06,1.4,-1.5,5,0,30,199,11,,1026.1,448
2019-02-07,0.7,-2.9,2.9,0.1,10,195,11,,1014.9,38
2019-02-08,4.3,1.4,8.4,0,0,201,15,,1015.3,433
2019-02-09,7.2,4,11,0.1,0,207,21,,1007.4,180
2019-02-10,7.3,3.8,10.6,5.5,0,191,18,,1000.2,0
2019-02-11,4.2,1.5,7.7,1.1,0,271,23,,1007,95
2019-02-12,2.4,-1,5.8,1.7,0,280,16,,1027.3,237
2019-02-13,5.1,2.5,7.1,0,0,251,17,,1032.7,0
2019-02-14,5.4,-1.2,10,0,0,245,9,,1035.5,254
2019-02-15,3.2,-3.1,13.8,0,0,216,6,,1033.9,519
2019-02-16,5.3,-3.1,16.3,0,0,197,8,,1027.3,522
2019-02-17,4.6,-2.3,15,0,0,178,6,,1024.7,511
2019-02-18,5.2,-2.5,16.1,0,0,191,7,,1019.8,529
2019-02-19,6.4,1,10.7,0.1,0,227,14,,1016.3,211
2019-02-20,7.1,4,10.3,0,0,250,13,,1021.6,44
2019-02-21,7,3.5,10.5,4.8,0,233,12,,1024,14
2019-02-22,3.1,-3.9,8.4,0,0,144,13,,1035.9,252
2019-02-23,-1.4,-5.8,4.9,0,0,110,6,,1044,463
2019-02-24,1.4,-4.8,9.9,0,0,217,6,,1039.6,326
2019-02-25,4.7,-2.4,13.5,0,0,243,9,,1036.7,547
2019-02-26,5,-1.5,10.8,0,0,247,8,,1032.7,58
2019-02-27,5.5,-2.8,15.7,0,0,218,9,,1025.7,561
2019-02-28,8.3,3.2,13.7,0.6,0,258,14,,1011.7,401
2019-03-01,4.7,2.3,6.9,1.5,0,263,7,,1011.9,0
2019-03-02,3.8,1.6,5.7,0.3,0,240,9,,1015.5,0
2019-03-03,9.4,4.5,11.9,0.5,0,224,19,,1007.7,6
2019-03-04,10.6,5.3,16.6,1.9,0,224,24,,995.6,68
2019-03-05,5.8,2.4,9,2.3,0,250,23,,1003.8,149
2019-03-06,6.8,0.5,12.2,0,0,177,13,,1009.1,483
2019-03-07,10.9,8.1,16.2,0.4,0,197,18,,999,86
2019-03-08,8,4.5,12,1.2,0,236,24,,1007.9,206
2019-03-09,7.8,4.5,12,7.4,0,233,22,,1007.3,57
2019-03-10,5.3,0.7,8.9,9.6,0,215,16,,1003.6,14
2019-03-11,3.4,1.3,6.2,1.8,0,260,21,,1011.5,96
2019-03-12,5.1,0.6,9,0.8,0,230,16,,1016.6,118
2019-03-13,7.4,4.6,10.7,0.8,0,221,23,,1004,262
2019-03-14,5.9,3.9,9,11,0,232,22,,999.6,36
2019-03-15,7.8,5.4,10.4,0.8,0,256,25,,999.6,48
2019-03-16,7,5.2,9.7,3.7,0,242,20,,1005.7,15
2019-03-17,9,4.7,15.7,1.6,0,229,18,,1002.8,367
2019-03-18,5.7,3.5,9,0.1,0,249,23,,1013.3,228
2019-03-19,4.3,-1.4,8.7,0,0,265,14,,1025.7,137
2019-03-20,5.5,-3.1,12.3,0,0,226,10,,1033.2,644
2019-03-21,9.7,3.4,15.4,0,0,230,8,,1033.7,334
2019-03-22,7.7,1,15.2,0,0,88,6,,1032.1,325
2019-03-23,10.3,1.5,20.2,0,0,222,9,,1026.7,626
2019-03-24,8,0.6,12.3,0,0,191,7,,1024.5,344
2019-03-25,3.6,-0.1,8,2.8,0,260,14,,1016.5,167
2019-03-26,4.5,0,8.6,0.1,0,270,17,,1024.4,68
2019-03-27,6.5,1.4,9.5,1,0,268,12,,1029.6,13
2019-03-28,8.5,7.3,10.4,0.5,0,300,11,,1032.4,0
2019-03-29,8.4,1.4,13,0,0,197,6,,1032.1,97
2019-03-30,9,-0.7,18.3,0,0,186,8,,1023.1,683
2019-03-31,8.1,2.4,12.3,0,0,,10,,1022.4,334
2019-04-01,5.3,-3,12.1,0,0,68,12,,1025.9,706
2019-04-02,8.9,0.7,16.9,0,0,116,12,,1013.6,619
2019-04-03,13.2,5.4,19.8,0,0,155,9,,1003.7,449
2019-04-04,14.3,5.3,21.5,0,0,122,11,,998.9,651
2019-04-05,12.1,6.5,19,0.5,0,190,8,,1004.7,368
2019-04-06,13.9,5.6,21.7,0,0,92,10,,1006.7,700
2019-04-07,11.6,3.8,19.6,0,0,69,7,,1007.5,654
2019-04-08,12,1.7,20.5,0,0,169,8,,1009.4,713
2019-04-09,7.2,1.2,12.3,0,0,46,12,,1013.8,409
2019-04-10,4.9,-1,10.9,0,0,58,13,,1017.3,720
2019-04-11,2.7,-3,6.6,0,0,37,10,,1023.8,209
2019-04-12,3,1.9,4.9,0,0,60,9,,1025.3,0
2019-04-13,4.5,1.7,7.9,2.1,0,69,9,,1023.4,4
2019-04-14,6.2,1.7,12.6,0.8,0,55,12,,1023.9,170
2019-04-15,7.4,-0.2,14.2,0,0,63,9,,1026.6,751
2019-04-16,8.3,-1.4,16,0,0,84,11,,1023.3,751
2019-04-17,9.8,1.1,18.7,0,0,73,10,,1026.9,736
2019-04-18,12.1,0.6,21.1,0,0,109,10,,1029.7,753
2019-04-19,14.2,4.7,22.9,0,0,87,9,,1031.9,758
2019-04-20,13,2.1,22.7,0,0,89,6,,1029.4,759
2019-04-21,12.6,2.1,21.4,0,0,92,7,,1022.9,765
2019-04-22,12.4,5.5,17.4,0,0,75,15,,1016.8,758
2019-04-23,14.1,9.1,18.9,0,0,101,22,,1009.5,437
2019-04-24,16.7,11.2,23.3,0,0,127,14,,1007,705
2019-04-25,18.6,11.4,26.5,0,0,164,9,,1010.7,671
2019-04-26,18.1,9.3,25.7,12.5,0,196,14,,1008.2,708
2019-04-27,12.5,8.6,18.1,0,0,243,11,,1012.7,110
2019-04-28,10.1,7.6,13.9,0,0,269,11,,1017.4,90
2019-04-29,10.1,5.5,14.8,0.8,0,301,12,,1016.7,31
2019-04-30,9.9,2.5,18.4,0.4,0,310,10,,1016.7,707
2019-05-01,12.3,5.8,19.5,0.5,,271,11,,1012,265
2019-05-02,11.1,5.9,15.5,0.6,,261,15,,1006.7,431
2019-05-03,9.1,6.4,12.1,0.7,,280,15,,1008,225
2019-05-04,4.9,0.4,7.5,4.8,,258,8,,1007.6,31
2019-05-05,5.5,-1.1,12.4,0,,286,7,,1015.8,446
2019-05-06,7,-0.4,11.6,0,,259,10,,1017.7,278
2019-05-07,7.1,1.4,13.3,0.1,,243,7,,1017.9,216
2019-05-08,12,0.8,18.7,2.5,,128,11,,1008.1,496
2019-05-09,13.6,10.2,18.5,1.1,,193,9,,1000.7,239
2019-05-10,12.8,7,18,1.1,,246,12,,1007.6,193
2019-05-11,10.1,5.3,14.2,11.5,,74,10,,1013.1,55
2019-05-12,10.8,5.4,16.5,0,,300,13,,1026.6,419
2019-05-13,9.5,3.1,15.1,0,,261,10,,1034.1,524
2019-05-14,8,1.1,13.8,0,,203,13,,1030.6,371
2019-05-15,7.4,3.6,10.9,7.4,,189,10,,1024.3,0
2019-05-16,8.5,5.5,12,0.8,,251,6,,1015.6,38
2019-05-17,13.4,6.4,19.5,0,,154,8,,1011,258
2019-05-18,16.1,7.8,23.6,0,,117,8,,1007.7,853
2019-05-19,18.6,9,26.3,0,,125,8,,1004.7,672
2019-05-20,16,10.7,21.5,5.7,,108,7,,1001.9,197
2019-05-21,17.6,8.8,24.1,0.3,,176,8,,1004.5,714
2019-05-22,12.8,10.5,16.4,3,,294,17,,1012.5,0
2019-05-23,13.5,7,19.6,0,,269,10,,1017.6,579
2019-05-24,15.6,5.5,23.2,0,,192,6,,1014,672
2019-05-25,15.2,9.2,20.5,0,,288,11,,1014.3,788
2019-05-26,16.2,7.4,23.2,0,,235,14,,1012.9,722
2019-05-27,17.8,13.4,23.5,1.2,,239,12,,1007.6,197
2019-05-28,14.9,10.8,18,4.5,,300,8,,1006.4,11
2019-05-29,12.6,5.2,17.9,0,,288,9,,1019.7,566
2019-05-30,14.7,2.9,22.3,0,,180,7,,1024.2,841
2019-05-31,18.5,12.7,23.5,0,,242,10,,1023,225
2019-06-01,20.5,12.2,27.9,0,,205,9,,1020.8,684
2019-06-02,22.5,11.4,31,0,,164,7,,1017.3,866
2019-06-03,25.6,16.2,32.7,0,,180,10,,1013.7,862
2019-06-04,23.8,14.8,31.3,0,,186,6,,1011.7,889
2019-06-05,25.5,16.4,32.4,0,,127,10,,1008.3,802
2019-06-06,21.8,14.1,30.5,5.9,,185,13,,1008.7,522
2019-06-07,19.4,13.3,25.2,0,,185,9,,1014.2,691
2019-06-08,17.9,9.4,23,0,,229,14,,1020.1,444
2019-06-09,19.8,8.4,27.1,0.2,,143,7,,1023.1,699
2019-06-10,23.7,16.6,29.5,11,,154,8,,1012.8,361
2019-06-11,23.1,16.4,29.8,0,,185,9,,1009,649
2019-06-12,23.9,16.5,34.1,1.6,,150,11,,1007.8,578
2019-06-13,19.6,14.5,25.9,0.1,,228,5,,1014.7,600
2019-06-14,23.8,12.7,31.2,0.1,,133,7,,1017,718
2019-06-15,26.1,19.3,33.7,0,,174,15,,1010.9,644
2019-06-16,18.6,11.9,23.2,0,,289,9,,1019.4,258
2019-06-17,20.2,10.5,27.7,0,,130,5,,1021.1,653
2019-06-18,22.9,13.5,29.7,0,,100,9,,1016.6,871
2019-06-19,24.9,15.8,32.7,0,,147,8,,1009.7,637
2019-06-20,21.7,16.7,27.5,6.8,,226,8,,1010.5,489
2019-06-21,20.4,14.1,25.7,0,,272,9,,1016.6,525
2019-06-22,20.8,11.8,27.3,0,,101,9,,1020.5,644
2019-06-23,21.4,13,28.4,0,,67,9,,1021.3,750
2019-06-24,22.8,12.3,30.6,0,,85,8,,1023.2,906
2019-06-25,26.8,16.7,34.8,0,,126,9,,1021.5,906
2019-06-26,30.4,22.8,37.4,0,,239,13,,1019,852
2019-06-27,21.5,15.2,26.6,0,,304,15,,1022.3,833
2019-06-28,18.7,12.4,24.7,0,,286,8,,1023.5,579
2019-06-29,21.8,10.4,31.8,0,,171,4,,1020.4,903
2019-06-30,27.6,13.9,37.5,0,,202,11,,1012.9,892
2019-07-01,23.6,17.9,29,0.2,,297,11,,1013.6,467
2019-07-02,18.3,10.1,23.7,0,,292,14,,1018.7,663
2019-07-03,15.4,9.2,21.3,0,,294,10,,1022.2,614
2019-07-04,16.7,8.5,23.8,0,,283,10,,1021.3,830
2019-07-05,18.8,14,23.6,0,,267,12,,1014.3,33
2019-07-06,20.5,12.9,28.3,2.9,,244,11,,1008.8,351
2019-07-07,14.9,8.8,19.6,0,,284,13,,1010.9,240
2019-07-08,14.3,9.4,19.3,0,,273,12,,1015.2,122
2019-07-09,14.8,10.7,18.7,0,,280,12,,1016.8,142
2019-07-10,16.3,9.7,23.6,0,,285,12,,1016.7,574
2019-07-11,18.4,7.9,25.1,8,,239,5,,1012.9,481
2019-07-12,17.9,14.9,22.2,3.7,,187,7,,1010.1,146
2019-07-13,17.3,14.1,24.6,12.9,,256,10,,1011.5,157
2019-07-14,17.5,13.9,22.4,0.5,,303,10,,1015.5,224
2019-07-15,16,14.1,18.7,0,,291,9,,1016.4,25
2019-07-16,16.2,13.5,19.5,0,,264,13,,1014.7,119
2019-07-17,16.9,11.2,23.8,0,,241,7,,1014.1,477
2019-07-18,20.1,10.3,27.7,0,,123,5,,1012,693
2019-07-19,19.5,14.4,25.4,0.4,,213,7,,1013.4,67
2019-07-20,22.6,12.8,31,7.3,,168,7,,1013.9,738
2019-07-21,21,15.4,27.1,0,,238,10,,1017.9,613
2019-07-22,21.1,14,26.1,0,,223,6,,1022.2,320
2019-07-23,23.8,16.7,31.1,0,,213,8,,1020.4,858
2019-07-24,25.2,14.7,33.5,0,,99,6,,1017.5,863
2019-07-25,26.7,16.5,34.9,0,,114,8,,1016.6,848
2019-07-26,24.8,18.5,31.1,0,,61,11,,1012.3,857
2019-07-27,23.8,17.9,29.1,0,,64,13,,1005.5,783
2019-07-28,24.9,17,31.5,0,,80,9,,1001.7,553
2019-07-29,25.5,18.5,32.9,0,,224,8,,1006.5,431
2019-07-30,23.6,19.6,29.1,0,,284,11,,1010.2,116
2019-07-31,19.9,14.2,26.5,2.4,,242,7,,1014.2,229
2019-08-01,18.6,12.8,25.8,0,,222,7,,1016.3,389
2019-08-02,18.2,11.5,24.6,0,,128,5,,1014.2,281
2019-08-03,18.7,12.9,26.5,1.9,,214,6,,1013.7,456
2019-08-04,18.5,11.6,25.5,2.9,,247,7,,1015.2,437
2019-08-05,19.4,11.6,26.5,0.1,,165,5,,1012,250
2019-08-06,22.1,14.5,29.5,0.8,,224,8,,1009.4,528
2019-08-07,19.8,15.3,25.8,2.5,,196,9,,1007.1,142
2019-08-08,20.3,13.5,27.1,0,,235,12,,1010.5,596
2019-08-09,22.2,11.8,29.7,0.2,,180,7,,1011.7,569
2019-08-10,22.7,17.2,27,0,,213,14,,1011.5,170
2019-08-11,22.9,15.3,30.2,0,,198,10,,1014.7,633
2019-08-12,20.2,16.3,23.6,0,,235,10,,1014.2,82
2019-08-13,18.7,12.1,23.9,0,,239,13,,1015.4,473
2019-08-14,15.5,8.4,22.8,0,,249,8,,1017.3,477
2019-08-15,17.7,7.2,24.1,0,,183,10,,1013.3,238
2019-08-16,18.1,12.4,24,0,,241,10,,1015.4,339
2019-08-17,20.7,13.4,27.9,0.1,,187,12,,1011.8,56
2019-08-18,22.1,17.7,31,4.1,,218,11,,1008.2,280
2019-08-19,19.3,13.5,26,0.4,,237,6,,1015.7,305
2019-08-20,19.4,12.6,26.4,2.1,,161,6,,1021.1,156
2019-08-21,17.7,10.5,24.3,0,,251,7,,1027,609
2019-08-22,18.3,9.2,26.5,0,,103,7,,1027.3,653
2019-08-23,19.7,10.3,27.8,0,,96,6,,1025.9,750
2019-08-24,21.6,10.9,29.1,0,,93,9,,1022.9,627
2019-08-25,24.7,18.2,31.7,0,,79,10,,1020.4,605
2019-08-26,23,17.7,33.4,4.4,,94,6,,1019.3,444
2019-08-27,24.5,17.2,31.4,0,,121,8,,1017.4,589
2019-08-28,25.1,17.6,33.2,0,,178,7,,1014.9,598
2019-08-29,23.5,16.1,31.1,0,,223,7,,1017.1,510
2019-08-30,24.5,16,32.6,0,,161,5,,1020.7,670
2019-08-31,26,17.1,33.9,0,,128,8,,1015.5,720
2019-09-01,24.6,18.4,32.5,0,,228,12,,1010.1,449
2019-09-02,16.7,8.1,22.1,0,,294,10,,1020.3,373
2019-09-03,15.6,6.8,23.1,0,,228,10,,1022.6,253
2019-09-04,20.3,12.7,28.1,0,,177,9,,1016.1,673
2019-09-05,17.1,12.1,23.1,0,,265,12,,1015.7,266
2019-09-06,13.7,6.8,21,0.1,,214,6,,1023.1,719
2019-09-07,12.8,7.6,17.5,1.3,,107,4,,1018.5,1
2019-09-08,14.9,8,21,7.7,,125,5,,1017.2,358
2019-09-09,13.3,11.8,14.9,15.8,,115,11,,1010.5,0
2019-09-10,14.3,8,19.6,0,,245,15,,1016.2,504
2019-09-11,14.5,5.9,22.9,0,,195,7,,1022.5,659
2019-09-12,17,13.1,22.5,0,,220,11,,1026.8,176
2019-09-13,17.1,9.8,23.3,0,,263,11,,1029,140
2019-09-14,12.3,5.9,19.6,0,,252,4,,1032.6,617
2019-09-15,15.7,5.5,23.8,0.1,,214,11,,1021.1,501
2019-09-16,13.5,10.8,17,0.2,,279,10,,1018.6,0
2019-09-17,12,9.4,16.6,0.7,,262,18,,1015.4,153
2019-09-18,11.1,6.7,16.4,0.1,,278,15,,1021.7,371
2019-09-19,9.5,3.5,16.5,0,,266,9,,1027,394
2019-09-20,9,2.1,16.4,0,,250,8,,1028,460
2019-09-21,11.8,3.3,21.8,0,,175,5,,1022.8,663
2019-09-22,15,5.4,25.2,0,,115,8,,1014.4,648
2019-09-23,14.6,5.5,23.2,0,,90,6,,1013.4,485
2019-09-24,16.1,11.1,20.6,0,,190,5,,1012.5,50
2019-09-25,14.5,11.2,17.6,1.8,,195,8,,1007,0
2019-09-26,14.9,9.6,20.8,0.1,,201,8,,1011.5,301
2019-09-27,15.6,11.3,19.4,2.8,,194,12,,1010.6,0
2019-09-28,14.6,10.5,20.5,2.5,,217,13,,1011.9,356
2019-09-29,16.4,13.4,19,1.5,,213,16,,1004.8,39
2019-09-30,15.1,11.7,17.6,3.1,,250,26,,1001.7,154
2019-10-01,15.3,9.8,20.4,0.6,,220,15,,1003,42
2019-10-02,10.7,5.8,16,3.2,0,258,12,,1004.7,77
2019-10-03,9.2,5.8,13.6,0,0,266,12,,1012.8,104
2019-10-04,8.3,3.3,13.3,20.6,0,120,6,,1010.4,30
2019-10-05,7.6,2.4,8.9,4.5,0,111,13,,1012.2,0
2019-10-06,5.5,0.3,10.8,0,0,127,6,,1020.3,319
2019-10-07,4.2,-1.6,12.5,0,0,131,4,,1019.9,581
2019-10-08,9.5,2.2,12.4,3.4,0,195,12,,1009.3,0
2019-10-09,12.7,9.6,17,2.8,0,224,13,,1007.8,316
2019-10-10,11.4,9.6,15.3,0.1,0,242,16,,1011.3,227
2019-10-11,13.3,9.1,16.2,0,0,220,16,,1014.7,72
2019-10-12,17.4,13.3,22.3,0,0,217,15,,1011.7,570
2019-10-13,19.9,15.3,25.9,0,0,192,12,,1013.3,432
2019-10-14,18.5,13.5,24.9,0,0,167,8,,1014.1,564
2019-10-15,15.1,9.4,22.8,0,0,136,7,,1007.6,548
2019-10-16,13,10.7,15.6,2.2,0,215,15,,1009.8,42
2019-10-17,14.7,10.7,18.8,0.1,0,198,10,,1013.7,214
2019-10-18,15.5,10.2,20.4,0.2,0,191,11,,1011.3,360
2019-10-19,12.1,8.7,15.3,0,0,166,7,,1011.3,2
2019-10-20,15.1,10.6,22.3,0,0,163,8,,1011.2,509
2019-10-21,13.4,8,19.6,0,0,180,5,,1017.5,267
2019-10-22,12,7.4,19.4,0,0,207,4,,1023.5,431
2019-10-23,11.4,5.5,16,0,0,110,7,,1019.3,193
2019-10-24,13.7,10,18.5,0,0,124,8,,1011.3,295
2019-10-25,13.6,9.5,18.9,0,0,218,10,,1019.3,322
2019-10-26,14.2,8.8,20.4,0,0,201,11,,1017.5,384
2019-10-27,11.5,4.9,17.1,2,0,237,14,,1016.6,23
2019-10-28,6.8,3.1,11.5,0,0,237,10,,1020.9,304
2019-10-29,4,-1.4,8,0,0,253,5,,1024.6,67
2019-10-30,0.5,-3.7,8.2,0,0,153,4,,1030.4,370
2019-10-31,-0.6,-5.3,7,0,0,64,4,,1027.4,468
2019-11-01,2.7,-4.4,8.1,0.9,0,121,10,,1014.4,359
2019-11-02,10.4,6.6,14.2,0.7,0,177,14,,996.2,23
2019-11-03,10.4,7,12.4,3.8,0,153,9,,991.3,2
2019-11-04,10.5,8.1,14.2,3.3,0,195,9,,991.1,96
2019-11-05,9.4,5.6,12.5,0.2,0,222,11,,996.4,52
2019-11-06,8.3,5.2,11.7,0.2,0,224,11,,1000.8,35
2019-11-07,8.3,4.2,13.1,0,0,168,8,,1004.3,254
2019-11-08,7,2.7,9.7,0.1,0,101,6,,1006.5,74
2019-11-09,6.5,3.2,8,0.6,0,242,10,,1007.2,0
2019-11-10,2.5,-2.5,9.8,0,0,175,4,,1014,445
2019-11-11,1.6,-2.6,8.1,0.1,0,137,7,,1012.4,447
2019-11-12,4.1,-1,6.7,0,0,154,8,,1007.3,0
2019-11-13,4.7,3.3,6.3,0.2,0,175,7,,1004,0
2019-11-14,4.7,1.3,9.1,0,0,139,9,,1009,383
2019-11-15,6.9,3.7,10.3,0.4,0,85,13,,1005.6,20
2019-11-16,5.5,-0.4,11.7,0,0,162,10,,1008.6,191
2019-11-17,5.7,-0.2,9.8,1,0,71,8,,1011,47
2019-11-18,8,3.8,12.9,2.9,0,155,10,,1007.7,0
2019-11-19,5.8,3.6,9.5,2.7,0,178,10,,1016.8,230
2019-11-20,4.9,4.2,5.7,0.1,0,221,6,,1017.9,0
2019-11-21,7.7,5.4,9.2,1,0,73,6,,1011.4,0
2019-11-22,8.6,5.8,12.3,0,0,127,8,,1010.6,289
2019-11-23,7.2,4,10.4,0,0,89,11,,1008.1,84
2019-11-24,4.7,2.3,8.5,0,0,72,10,,1010.3,339
2019-11-25,3.8,2.3,5.1,0,0,77,9,,1012.1,0
2019-11-26,5.9,3.1,8.3,0,0,175,9,,1008.5,11
2019-11-27,6.6,4.2,8.7,1.9,0,168,12,,999.1,0
2019-11-28,9.9,7.4,12.9,1.1,0,199,18,,993.9,161
2019-11-29,6.2,0.3,9.9,0,0,267,20,,1003.5,153
2019-11-30,0.7,-3.8,4.4,0,0,243,9,,1021.3,67
2019-12-01,1.3,-1.5,4.6,0,0,164,4,,1022.3,0
2019-12-02,2.3,-0.4,4.2,0.3,0,259,12,,1020.5,0
2019-12-03,1.9,-2,5.1,0,0,236,8,,1026.5,28
2019-12-04,3.1,-1.3,7.2,0,0,208,10,,1024.3,387
2019-12-05,0.7,-2.3,4.9,0,0,192,11,,1020.7,384
2019-12-06,3,-1.5,6.7,6,0,207,15,,1012.4,145
2019-12-07,7.6,5,9.5,0.5,0,237,21,,1008.5,2
2019-12-08,9.3,7.2,11.4,0.2,0,221,19,,1004.6,15
2019-12-09,7.8,5.6,10,0.7,0,225,16,,1001.6,163
2019-12-10,2.9,-0.2,5.8,0,0,252,13,,1021,362
2019-12-11,1.9,-0.8,5.6,0.2,0,171,11,,1013,149
2019-12-12,2.5,0.3,4.6,0,0,194,10,,1003.1,5
2019-12-13,1.1,-1.8,3.8,4.3,0,135,12,,986.9,91
2019-12-14,4.5,3.5,6.2,4.7,0,214,17,,990.6,25
2019-12-15,6.4,2.9,10.6,1,0,214,16,,1003.2,20
2019-12-16,6.7,3.9,10.3,0,0,182,9,,1010.2,7
2019-12-17,8,3.6,11.2,0,0,171,11,,1007.7,145
2019-12-18,8.1,2.5,10.8,0.1,0,203,9,,1016.3,0
2019-12-19,4.1,0.5,8.2,0,0,88,6,,1016.7,200
2019-12-20,7.3,2.6,12.4,7.4,0,144,9,,997.5,349
2019-12-21,6.3,-0.1,9.8,0.3,0,193,8,,994.1,227
2019-12-22,2.5,-2.4,6.1,0.3,0,132,5,,990.5,68
2019-12-23,6.6,4.5,7.8,1.1,0,247,13,,1002.1,1
2019-12-24,6.2,4.9,8.1,4.1,0,222,12,,1010.5,108
2019-12-25,5.5,4.5,7,0.4,0,286,13,,1013.6,5
2019-12-26,4.3,3,5.8,1,0,266,10,,1023.1,6
2019-12-27,2.8,1.4,3.8,0.4,0,303,8,,1028.8,4
2019-12-28,0.9,-0.9,2,0,0,318,8,,1040.9,0
2019-12-29,-0.5,-4.2,2.5,0,0,208,6,,1039.7,340
2019-12-30,4.8,1,8.3,0,0,213,13,,1030,53
2019-12-31,5.7,2.9,7.3,0,0,262,15,,1028.3,67
