使用 pandas 和 matplotlib 从 csv 文件绘制图表

Question

I have data in the form of dictionaries in the list, generated from the csv file.

df = [{'Line Number': 11, 'Report Hour': 6, 'Kits Completed': 34}, {'Line Number': 11, 'Report Hour': 7, 'Kits Completed': 55}, {'Line Number': 12, 'Report Hour': 6, 'Kits Completed': 67}, {'Line Number': 12, 'Report Hour': 7, 'Kits Completed': 56}, {'Line Number': 14, 'Report Hour': 6, 'Kits Completed': 0}, {'Line Number': 14, 'Report Hour': 7, 'Kits Completed': 0}, {'Line Number': 15, 'Report Hour': 6, 'Kits Completed': 123}, {'Line Number': 15, 'Report Hour': 7, 'Kits Completed': 97

To achieve the result shown above, I used the code:

df = df.to_dict('records')

What interests me is getting the result: line 11: did x (axis) o'clock, y (axis) of boxes. line 15: did x (axis) o'clock, y (axis) of boxes.

Then on the same graph, put the results for lines 14, 15, and so on. The effect should look something similar to the one below:

chart example

I would be grateful for help :)

Answer 1

You probably shouldn't have converted the pandas dataframe to a dictionary, plotting is much easier with pandas:

df = [{'Line Number': 11, 'Report Hour': 6, 'Kits Completed': 34}, {'Line Number': 11, 'Report Hour': 7, 'Kits Completed': 55}, {'Line Number': 12, 'Report Hour': 6, 'Kits Completed': 67}, {'Line Number': 12, 'Report Hour': 7, 'Kits Completed': 56}, {'Line Number': 14, 'Report Hour': 6, 'Kits Completed': 0}, {'Line Number': 14, 'Report Hour': 7, 'Kits Completed': 0}, {'Line Number': 15, 'Report Hour': 6, 'Kits Completed': 123}, {'Line Number': 15, 'Report Hour': 7, 'Kits Completed': 97}]
df = pd.DataFrame(df)

table = df.pivot(index='Report Hour', columns='Line Number', values = 'Kits Completed')
table.plot.bar()

Gives: