如何绘制特定属性而不是时​​间序列中所有属性的默认值

Question

如何绘制时间序列的特定属性，而不是数据框中所有属性的默认值。我想制作一个特定属性和两个特定属性的时间序列。是否可以打开一个员工人数的时间序列图和另一个员工人数和表格的时间序列图？下面是我一直在使用的代码，如果我尝试调用特定变量，我会得到错误代码。提前致谢

# Load necessary libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

# Load data
filename = 'https://library.startlearninglabs.uw.edu/DATASCI410/Datasets/JitteredHeadCount.csv'
headcount_df = pd.read_csv(filename)
headcount_df.describe()

headcount_df.columns

ax = plt.figure(figsize=(12, 3)).gca() # define axis
headcount_df.plot(ax = ax)
ax.set_xlabel('Date')
ax.set_ylabel('Number of guests')
ax.set_title('Time series of Casino data')

Answer 1

您可能不得不弄乱刻度和其他一些格式，但这应该会让您朝着正确的方向前进。

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt


filename = 'https://library.startlearninglabs.uw.edu/DATASCI410/Datasets/JitteredHeadCount.csv'
headcount_df = pd.read_csv(filename)

headcount_df['DateFormat'] = pd.to_datetime(headcount_df['DateFormat'].fillna('ffill'))
headcount_df.set_index('DateFormat', inplace=True)
headcount_df.sort_index(inplace=True)

headcount_df_to = headcount_df[['TablesOpen']]
headcount_df_hc_to = headcount_df[['HeadCount', 'TablesOpen']]

fig, axes = plt.subplots(nrows=2, ncols=1,
                         figsize=(12, 8))


headcount_df_to.plot(ax=axes[0], color=['orange'])
headcount_df_hc_to.plot(ax=axes[1], color=['blue', 'orange'])


axes[0].set_xlabel('Date')
axes[0].set_ylabel('Tables Open')
axes[0].legend(loc='center left', bbox_to_anchor=(1, 0.5))


axes[1].set_xlabel('Date')
axes[1].set_ylabel('Number of guests and Tables Open')
axes[1].legend(loc='center left', bbox_to_anchor=(1, 0.5))

fig.suptitle('Time Series of Casino data')