如何在python中绘制单行时间序列数据

Question

我正在尝试使用 python/pandas 和 matplotlib 绘制某些时间序列数据。我能够从原始 github 页面中提取如下数据。我想知道是否有办法绘制数据框中的所有列。为检索数据编写的代码如下。

import pandas as pd
import requests
import io
url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv"
download = requests.get(url).content
df = pd.read_csv(io.StringIO(download.decode('utf-8')))
filt = df['Country/Region'] == 'India'
i_rec = df[filt]
dt_filt = i_rec[df.columns.drop(['Province/State','Country/Region','Lat','Long'])]
print(dt_filt)

Screenshot

Answer 1

您可以转置时间序列来绘制它。

plt.plot(dt_filt.transpose())

当然，您可能希望根据自己的喜好更改轴标签和标记。

这是一个带有旋转和缩小轴标签的示例：

fig, ax = plt.subplots()

# plot the (transposed) time series data
ax.plot(dt_filt.transpose())

# show only every 25th label (otherwise they'd overlap a lot)
every_nth = 25
for n, label in enumerate(ax.xaxis.get_ticklabels()):
    if n % every_nth != 0:
        label.set_visible(False)

# rotate the labels s.t. more can fit
plt.xticks(rotation=90)

# show the plot
plt.show()

减少标签数量的代码改编自this StackOverflow answer。

结果将如下所示：

Answer 2

你可以这样做

dt_filt.T.plot()