为什么我的数据没有显示在这个 Pandas 图表中？

Question

我有一个pandas.DataFramedaily_data_f_no_nr，内容如下（print(daily_data_f_no_nr) 的结果）：

          Day  Total TODO/TODOE count  First Derivative
0  2020-05-16                      35               0.0
1  2020-05-17                      35               0.0
2  2020-05-18                      35               0.0
3  2020-05-19                      35               0.0
4  2020-05-20                      35               0.0
..        ...                     ...               ...
74 2020-07-29                     152               0.0
75 2020-07-30                     152               0.0
76 2020-07-31                     152               0.0
77 2020-08-01                     152               0.0
78 2020-08-02                     152               0.0

我想创建一个折线图

• Day 在 x 轴上并且
• Total TODO/TODOE count 和 First Derivative 在 y 轴上。

我为此使用以下代码：

fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr['Day'], yticks=daily_data_f_no_nr['Total TODO/TODOE count'], y=['Total TODO/TODOE count', 'First Derivative']).get_figure()
fig.savefig(CHART_FILE)

CHART_FILE 看起来像这样：

没有绘制代表Total TODO/TODOE count 和First Derivative 的线条。

我做错了什么？我如何需要更改上面的代码才能生成如下所示的图表（x 轴上的日期， Total TODO/TODOE count 和 First Derivative 在 y)？

更新1：如果我将代码更改为

fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr['Day'], yticks=daily_data_f_no_nr['Total TODO/TODOE count'],x='Day', y=['Total TODO/TODOE count', 'First Derivative']).get_figure()

我得到了错误

Traceback (most recent call last):
  File "py\todo-count-delta.py", line 113, in <module>
    fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr['Day'], yticks=daily_data_f_no_nr['Total TODO/TODOE count'],x='Day', y=['Total TODO/TODOE count', 'First Derivative']).get_figure()
  File "C:\Users\User\anaconda3\lib\site-packages\pandas\plotting\_core.py", line 847, in __call__
    return plot_backend.plot(data, kind=kind, **kwargs)
  File "C:\Users\User\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\__init__.py", line 61, in plot
    plot_obj.generate()
  File "C:\Users\User\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py", line 266, in generate
    self._adorn_subplots()
  File "C:\Users\User\anaconda3\lib\site-packages\pandas\plotting\_matplotlib\core.py", line 476, in _adorn_subplots
    ax.set_xticks(self.xticks)
  File "C:\Users\User\anaconda3\lib\site-packages\matplotlib\axes\_base.py", line 3350, in set_xticks
    ret = self.xaxis.set_ticks(ticks, minor=minor)
  File "C:\Users\User\anaconda3\lib\site-packages\matplotlib\axis.py", line 1755, in set_ticks
    self.set_view_interval(min(ticks), max(ticks))
  File "C:\Users\User\anaconda3\lib\site-packages\matplotlib\axis.py", line 1892, in setter
    setter(self, min(vmin, vmax, oldmin), max(vmin, vmax, oldmax),
TypeError: '<' not supported between instances of 'numpy.float64' and 'Timestamp'

更新2：这是print(daily_data_f_no_nr.info())的输出：

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 79 entries, 0 to 78
Data columns (total 3 columns):
 #   Column                  Non-Null Count  Dtype
---  ------                  --------------  -----
 0   Day                     79 non-null     datetime64[ns]
 1   Total TODO/TODOE count  79 non-null     int64
 2   First Derivative        79 non-null     float64
dtypes: datetime64[ns](1), float64(1), int64(1)
memory usage: 2.0 KB
None

Answer 1

选项1：使用Day列作为x参数

你应该添加x = 'Day'参数：

fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr['Day'], yticks=daily_data_f_no_nr['Total TODO/TODOE count'], x = 'Day', y=['Total TODO/TODOE count', 'First Derivative']).get_figure()

使用您在上面提供的数据（仅数据框的开头和结尾）：

---

选项2：将Day列设置为数据框的索引

您可以将Day 列设置为数据框的索引：

daily_data_f_no_nr.set_index('Day', inplace = True)

现在你可以用：

fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr.index, yticks=daily_data_f_no_nr['Total TODO/TODOE count'], y=['Total TODO/TODOE count', 'First Derivative']).get_figure()

你会得到和上面一样的情节。

---

完整代码

import pandas as pd
import matplotlib.pyplot as plt

daily_data_f_no_nr = pd.read_csv('data.csv')
daily_data_f_no_nr['Day'] = pd.to_datetime(daily_data_f_no_nr['Day'], format = '%Y-%m-%d')

daily_data_f_no_nr.set_index('Day', inplace = True)

fig = daily_data_f_no_nr.plot(kind='line', figsize=(20, 16), fontsize=26, xticks=daily_data_f_no_nr.index, yticks=daily_data_f_no_nr['Total TODO/TODOE count'], y=['Total TODO/TODOE count', 'First Derivative']).get_figure()

plt.show()