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        如何在 Python Plotly 中显示时间戳 x 轴

        How to show timestamp x-axis in Python Plotly(如何在 Python Plotly 中显示时间戳 x 轴)

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                • 本文介绍了如何在 Python Plotly 中显示时间戳 x 轴的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

                  问题描述

                  我想绘制

                  但是,x-index 显示数字.相反,我希望在 x 轴上有一个时间戳(月+年).

                  编辑添加流动的

                  fig.update_layout(yaxis=dict(title=''),xaxis=dict(标题='时间戳',tickformat = '%Y-%b',))

                  这似乎不是从数据索引中读取 x 轴.

                  解决方案

                  如果你想使用 bar,在我看来你需要找到一个好的解决方法.你有没有考虑过使用Heatmap?

                  将熊猫导入为 pd导入 plotly.graph_objsdf = pd.read_csv("availability3.txt",parse_dates=["时间戳"]).drop("未命名:0", axis=1)# 你想让变量作为列df = pd.pivot_table(df,index="时间戳",列=变量",值=值")fig = go.Figure()fig.add_trace(去.热图(z=df.values.T,x=df.index,y=df.columns,colorscale='RdYlGn',xgap=1,ygap=2))图.show()

                  I want to plot this data to evaluate data availability. I used the following plotting code in Plotly.

                  import datetime
                  import plotly.express as px
                  
                  fig = px.bar(df, x=df.index, y="variable", color='value', orientation="h",
                               hover_data=[df.index],
                               height=350,
                               color_continuous_scale=['firebrick', '#2ca02c'],
                               title='',
                               template='plotly_white', 
                              )
                  

                  The result is just like what I want below.

                  But, the x-index show numbers. I want a timestamp (month+year) on the x-axis, instead.

                  Edit Adding the fllowing

                  fig.update_layout(yaxis=dict(title=''), 
                                    xaxis=dict(
                                        title='Timestamp', 
                                        tickformat = '%Y-%b',
                                    )
                                   )
                  

                  Gives

                  which seems that the x-axis is not read from the data index.

                  解决方案

                  If you want to use bars it seems to me that you need to find a nice workaround. Have you considered to use Heatmap?

                  
                  import pandas as pd
                  import plotly.graph_objs as go
                  
                  df = pd.read_csv("availability3.txt",
                                   parse_dates=["Timestamp"])
                         .drop("Unnamed: 0", axis=1)
                  
                  # you want to have variable as columns
                  df = pd.pivot_table(df,
                                      index="Timestamp",
                                      columns="variable",
                                      values="value")
                  fig = go.Figure()
                  fig.add_trace(
                      go.Heatmap(
                          z=df.values.T,
                          x=df.index,
                          y=df.columns,
                          colorscale='RdYlGn',
                          xgap=1,
                          ygap=2)
                        )
                  
                  fig.show()
                  
                  

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