绘制时间太近

Question

我的情节将日期时间过于紧密地捆绑在一起。我有以下代码：import pandas as pdimport matplotlib.pyplot as pltimport matplotlib.dates as mdimport matplotlib.dates as mdatesdata = {"Date":['2019-2-25 14:24:04', '2019-2-25 14:29:02', '2019-2-20 17:02:14',                '2019-3-25 08:12:54', '2019-3-25 12:32:32'],        "Quiz":[1,2,2,3,4],        "Score":[10,3,7,4,9]}df = pd.DataFrame.from_dict(data)df.Date = pd.to_datetime(df.Date)   fig = plt.figure(figsize = (11,9))ax = fig.add_subplot(111)ax.set_xticks(df.Date)ax.xaxis.set_major_formatter(mdates.DateFormatter('%d/%m/%Y %H:%M'))ax.set_xlabel("Date")ax.set_ylabel("Score")ax.plot_date(df.Date, df.Score)fig.autofmt_xdate(rotation=45)plt.show()这是情节：我想绘制我的数据的日期。但是，某些日期时间太靠近了，我无法找到一种方法将它们均匀地分开。我怎样才能做到这一点？

Answer 1

尝试这个：

import pandas as pd

import matplotlib.pyplot as plt

import matplotlib.dates as md

import matplotlib.dates as mdates

import datetime as dt

data = {"Date":['2019-2-25 14:24:04', '2019-2-25 14:29:02', '2019-2-20 17:02:14',

                '2019-3-25 08:12:54', '2019-3-25 12:32:32'],

        "Quiz":[1,2,2,3,4],

        "Score":[10,3,7,4,9]}

df = pd.DataFrame.from_dict(data)

xs = df.Date.values

fig, ax = plt.subplots(1)

ax.set_xlabel("Date")

ax.set_ylabel("Score")

ax.plot_date(xs, df.Score)

fig.autofmt_xdate(rotation=45)

plt.show()

主要区别是删除格式化业务并设置 xs = df.Date.values，然后让图表自己处理格式化fig.autofmt_xdate(rotation=45)。