我的情節(jié)將日期時(shí)間過(guò)于緊密地捆綁在一起。我有以下代碼：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()這是情節(jié)：我想繪制我的數(shù)據(jù)的日期。但是，某些日期時(shí)間太靠近了，我無(wú)法找到一種方法將它們均勻地分開(kāi)。我怎樣才能做到這一點(diǎn)？
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TA貢獻(xiàn)1796條經(jīng)驗(yàn) 獲得超7個(gè)贊
嘗試這個(gè)：
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()
主要區(qū)別是刪除格式化業(yè)務(wù)并設(shè)置 xs = df.Date.values，然后讓圖表自己處理格式化fig.autofmt_xdate(rotation=45)。
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