I have the following data in a csv file
SourceID BSs hour Type
7208 87 11 MAIN
11060 67 11 MAIN
3737 88 11 MAIN
9683 69 11 MAIN
9276 88 11 MAIN
7754 62 11 MAIN
11111 80 12 MAIN
9276 88 12 MAIN
11111 80 12 MAIN
6148 70 12 MAIN
11111 80 12 MAIN
9866 80 12 SUB
9866 78 13 MAIN
9866 78 13 SUB
20729 82 14 MAIN
9276 88 14 MAIN
11111 80 15 MAIN
20190 55 15 MAIN
7208 85 15 MAIN
7208 86 15 MAIN
7754 61 16 MAIN
8968 91 16 MAIN
3737 88 16 MAIN
9683 69 16 MAIN
20729 81 16 MAIN
9704 68 16 MAIN
11111 87 16 PAN
I have the following python code.I want to plot a graph with the following
specifications.
For each `SourceID` and `Type` I want to plot a graph of `BSs` over time. I
would prefer if each `SourceID` and `Type` is a subplot on single plot.I have
tried a lot of options using groupby, but can't seem to get it work.
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
COLLECTION = 'NEW'
DATA = r'C:\Analysis\Test\{}'.format(COLLECTION)
INPUT_FILE = DATA + r'\in.csv'
OUTPUT_FILE = DATA + r'\out.csv'
with open(INPUT_FILE) as fin:
df = pd.read_csv(INPUT_FILE,
usecols=["SourceID", 'hour','BSs','Type'],
header=0)
df.drop_duplicates(inplace=True)
df.reset_index(inplace=True)
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