在matplotlib中设置xticklabels，x轴格式

Question

我想在每个柱的中点用我们的x轴格式化图例值，同时保留性别组标识。为了清晰起见，我希望将性别群体降低到其他xtick标签下方。

到目前为止，我已经添加了xticks，但实际上正确地标记它们并且整齐地证明是比较棘手的。

from itertools import chain, cycle
import logging
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from pandas import DataFrame, Series
matplotlib.style.use("ggplot")


m = {"Males" :  {"Yes": 2, "No": 8}}
w = {"Females": {"Yes": 3, "No": 7}}
data = {**m, **w}
df = DataFrame(data)
# relative freq table
df_ft = (df / df.sum() * 100).T

ax = plt.subplot(111)
df_ft.plot(ax=ax, kind="bar", ylim=(0, 90),
           title="Would you prefer to work at home? (10 males, 10 females)",
           rot=0)
plt.ylabel("Relative Frequency (%)")


midp = 0.125  # standard bar width/2
t_l = ax.get_xticks().tolist()
ticks = list(chain.from_iterable((t - midp, t + midp) for t in t_l))
ax.set_xticks(t_l + ticks)

plt.show()

Answer 1

您可能正在寻找以下内容。

<?php
include("connection.php");
?>
<?php
$result=mysql_query("SELECT * FROM peralatansukan");

$count=mysql_num_rows($result);
echo"<select name=dropdown value=''>Dropdown</option>";
echo  "<table width='50%' border='1'>";
echo"<tr>";
echo"<td align='center'><b><font color='black'>No.</font></b></td>";
echo"<td align='center'><b><font color='black'>Peralatan Sukan</font></b>  
</td>";
echo"<td align='center'><b><font color='black'>Kuantiti</font></b></td>";
echo"</tr>";

if($count==0){
    echo "no record found";
}
else {
    while($row=mysql_fetch_array($result)){
        echo "<tr>";
        echo "<td align='center'><font color='black'>".$row["no"]."</font>  
        </td>";
        echo "<td align='center'><font  
        color='black'>".$row["peralatansukan"]."</font></td>";
        echo "<td align='center'>"."<option value=$row[kuantiti]></option>"." 
        </td>";
    }
    echo "</select>";
}

?>

Answer 2

Altair会在这里做得很好。

from altair import *
from pandas import DataFrame


df = DataFrame({'Males': {'Yes': 2, 'No': 8}, 'Females': {'Yes': 3, 'No': 7}})
df = df.stack().reset_index()
df.columns=['response','gender','count']

Vis＃1

Chart(df).mark_bar().encode(x='gender',y='count',color='response').configure_cell(width=200, height=200)

Vis 2

Chart(df).mark_bar().encode(x=X('response', axis=False),
                            y=Y('count', axis=Axis(grid=False)),
                            color='response',
                            column=Column('gender', axis=Axis(axisWidth=1.0, offset=-8.0, orient='bottom'),scale=Scale(padding=30.0))).configure_cell(width=200, height=200).configure_facet_cell(strokeWidth=0)