Plotly 中的完整字符串 x 轴标签

Question

在 Plotly 我试图显示漂亮的 x 轴

df["yearweek"]中的值是一年中的第几周： 202101, 202102, ...

但在图像中以奇怪的格式显示

有没有办法以原始形式按原样显示？

    fig = make_subplots(rows=2, cols=2, 
                    subplot_titles=("Total Job DB Bytes","Average Job DB Bytes","Total Job DB Calls","Average Job DB Calls"))

fig.add_trace(go.Scatter(x=df["yearweek"], y=df["total_db_size"]), row=1, col=1)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["size_by_jobs"]),  row=1, col=2)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["total_db_calls"]),row=2, col=1)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["calls_by_jobs"]), row=2, col=2)

fig.update_xaxes(tickmode="linear", row=1, col=1)
fig.update_xaxes(tickmode="linear", row=1, col=2)
fig.update_xaxes(tickmode="linear", row=2, col=1)
fig.update_xaxes(tickmode="linear", row=2, col=2)
fig.update_layout(height=800, width=1000, xaxis = {'type' : 'category'}, showlegend=False)
fig.show()

编辑：这是完整的 2x2 子图布局。 包括下面vestland 建议的类型更改。 这显示了仅适用于第一个 plot 的布局以及该布局上的 x 轴更改顺序。

Answer 1

有没有办法以原始形式按原样显示

fig.update_layout(xaxis = {'type' : 'category'})

# imports 
import plotly.express as px
import plotly.graph_objects as go
import pandas as pd

# data
df = pd.DataFrame({'yearweek':[202101 , 202102, 202103],
                   'my_value':[1,2, 4]})

# plotly
fig = go.Figure()
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["my_value"]))

# plotly x-axis type / format
fig.update_layout(xaxis = {'type' : 'category'})

Answer 2

多亏了韦斯特兰的回应，我才得以解决。 我在每个单元格上都需要 type='category', categoryorder='category ascending' ，如下所示：

fig = make_subplots(rows=2, cols=2, 
                    subplot_titles=("Total Job DB Bytes","Average Job DB Bytes","Total Job DB Calls","Average Job DB Calls"))

fig.add_trace(go.Scatter(x=df["yearweek"], y=df["total_db_size"]), row=1, col=1)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["size_by_jobs"]),  row=1, col=2)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["total_db_calls"]),row=2, col=1)
fig.add_trace(go.Scatter(x=df["yearweek"], y=df["calls_by_jobs"]), row=2, col=2)

fig.update_xaxes(tickmode="linear", type='category', categoryorder='category ascending', row=1, col=1)
fig.update_xaxes(tickmode="linear", type='category', categoryorder='category ascending', row=1, col=2)
fig.update_xaxes(tickmode="linear", type='category', categoryorder='category ascending', row=2, col=1)
fig.update_xaxes(tickmode="linear", type='category', categoryorder='category ascending', row=2, col=2)
fig.update_layout(height=800, width=1000, showlegend=False)
fig.show()