xticks

问题 This chart is built by Excel. How can I do the same using matplotlib? I mean how to add two formatters: years months. Now i use something like this: fig, ax = plt.subplots(1,1) ax.margins(x=0) ax.plot(list(df['Date']), list(df['Value']), color="g") ax.xaxis.set_major_locator(matplotlib.dates.YearLocator()) ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%Y')) plt.text(df["Date"].iloc[-1], df["Value"].iloc[-1], df["Value"].iloc[-1]) plt.title(title) plt.get_current_fig_manager()

问题 This chart is built by Excel. How can I do the same using matplotlib? I mean how to add two formatters: years months. Now i use something like this: fig, ax = plt.subplots(1,1) ax.margins(x=0) ax.plot(list(df['Date']), list(df['Value']), color="g") ax.xaxis.set_major_locator(matplotlib.dates.YearLocator()) ax.xaxis.set_major_formatter(matplotlib.dates.DateFormatter('%Y')) plt.text(df["Date"].iloc[-1], df["Value"].iloc[-1], df["Value"].iloc[-1]) plt.title(title) plt.get_current_fig_manager()

问题 I have a DataFrame with a DateTime index: import pandas as pd from random import randrange dates = pd.date_range(start="2020-02-01",end='2020-04-18',freq='1d') df = pd.DataFrame(index=dates,data=[randrange(10000) for i in range(78)] Now when I plot the data as a line plot, matplotlib produces a nicely formatted x axis: df.plot(figsize=(12,4)) However, if instead I do a bar plot, I now get something quite horrible: df.plot(kind='bar',figsize=(12,4)), This is quite disconcerting, as it is the

问题 I have a pandas' dataframe like: hour minute cnt 0 0 904890 0 30 880374 1 0 848198 1 30 816488 2 0 791761 I would like to plot cnt using minute as minor ticks, and hour as major tick in matplotlib. I've tried several things but they didn't work. Here's one: fig, ax = plt.subplots(figsize=(8,5)) df.plot(kind='line', y='cnt', ax=ax) ax.set_xticks(df['minute']) ax.set_xticklabels(df['minute']) I'd like my x-axis to look like |---+---+---+---+---+---+---+---| 0 15 30 45 0 30 45 0 15 0 1 2 ...

问题 I'm using matplotlib.dates to plot a bar chart with instances occurring on specific dates (presented as a list of strings), and using matplotlib.dates.datestr2num to display two sets of data per date (as per the top answer in Python matplotlib multiple bars). However, for dates below the 12th day of the month, the plot is interpreting the dates in MM/DD/YY format, while for dates above the 12th day of the month it is interpreting the dates as DD/MM/YY, causing the data to jump around the plot