问题

以下是您要求的翻译部分：

我在我的数据集中有三列。'初始条件'，'给定初始条件发生A的概率'和'给定初始条件发生B的概率'。我想要在Python中创建一个柱状图动画 gif，其中我可以显示柱状图的进展（代表A和B的概率）随着初始条件的变化。我尝试过这个，但x轴代表柱状图的值要么是0，要么是1。我无法将其格式化以显示两位小数。如果有人能帮助我，那将非常有帮助。这是数据样本。

这是我使用的代码。

import pandas as pd
import matplotlib.pyplot as plt
import bar_chart_race as bcr

# Load the data
data = pd.read_csv('data.csv')

# Set the index to the starting capital of A
data = data.set_index('A的初始资本')

# Create the animated bar chart race
bcr.bar_chart_race(
    df=data,
    filename='race.gif',
    orientation='h',
    sort='desc',
    n_bars=3,
    steps_per_period=10,
    interpolate_period=False,
    label_bars=True,
    bar_size=.95,
    period_length=500,
    figsize=(6, 3),
    dpi=144,
    title='比赛',
    writer='pillow'
)

plt.show()

<details>
<summary>英文:</summary>

I have three columns in my dataset. &#39;Initial condition&#39;, &#39;Probability of A occurring given initial condition&#39; and &#39;Probability of B occurring given initial condition&#39;. I want a bar chart race animation gif in Python where I can show the progression of the bars (representing Probability of A and B) with changing initial condition. I tried doing this but the x-axis representing the values of the bar is either 0 or 1. I am unable to format it so that it gets shown in two decimal places. Would be really helpful if anyone can assist me. Here is the data sample. 

[![enter image description here][1]][1]

Here is the code I used. 

    import pandas as pd
    import matplotlib.pyplot as plt
    import bar_chart_race as bcr

    # Load the data
    data = pd.read_csv(&#39;data.csv&#39;)

    # Set the index to the starting capital of A
    data = data.set_index(&#39;Initial captial of A&#39;)

    # Create the animated bar chart race
    bcr.bar_chart_race(
        df=data,
        filename=&#39;race.gif&#39;,
        orientation=&#39;h&#39;,
        sort=&#39;desc&#39;,
        n_bars=3,
        steps_per_period=10,
        interpolate_period=False,
        label_bars=True,
        bar_size=.95,
        period_length=500,
        figsize=(6, 3),
        dpi=144,
        title=&#39;Race&#39;,
        writer=&#39;pillow&#39;
    )

    plt.show()


  [1]: https://i.stack.imgur.com/xHvQV.png

</details>


# 答案1
**得分**: 1

从我理解的情况来看，你需要使用matplotlib包中的 `ax.set_xticks()` 手动设置 x 轴刻度。

以下是一个使用虚拟数据演示这个想法的代码片段：

```python
import pandas as pd
import matplotlib.pyplot as plt
import bar_chart_race as bcr
import numpy as np
# 加载数据
# data = pd.read_csv('data.csv')
N = 20
data = pd.DataFrame({'A的初始资本': np.arange(N),
                     '概率_A': np.linspace(0, 1, N),
                     '概率_B': np.linspace(1, 0, N)})
# 将索引设置为A的初始资本
data = data.set_index('A的初始资本')
print(data.head())

# 创建动态条形图竞赛
fig, ax = plt.subplots(1, 1, figsize=(8, 4), dpi=120, tight_layout=True)
bcr.bar_chart_race(
    df=data,
    filename='race.gif',
    orientation='h',
    sort='desc',
    n_bars=3,
    steps_per_period=1,
    interpolate_period=True,
    label_bars=True,
    bar_size=.95,
    period_length=1,
    dpi=144,
    fig=fig,
    title='竞赛',
    writer='pillow',
    fixed_max=True,
    fixed_order=['概率_A', '概率_B']
)
ax.set_xticks(np.linspace(0, 1, 10))
plt.show()

如果你有进一步的问题，请随时告诉我。最好的问候。

import pandas as pd
import matplotlib.pyplot as plt
import bar_chart_race as bcr
import numpy as np
# Load the data
# data = pd.read_csv('data.csv')
N = 20
data = pd.DataFrame({'Initial captial of A': np.arange(N),
                     'Probability_A': np.linspace(0, 1, N),
                     'Probability B': np.linspace(1, 0, N)})
# Set the index to the starting capital of A
data = data.set_index('Initial captial of A')
print(data.head())

# Create the animated bar chart race
fig, ax = plt.subplots(1, 1, figsize=(8, 4), dpi=120, tight_layout=True)
bcr.bar_chart_race(
    df=data,
    filename='race.gif',
    orientation='h',
    sort='desc',
    n_bars=3,
    steps_per_period=1,
    interpolate_period=True,
    label_bars=True,
    bar_size=.95,
    period_length=1,
    dpi=144,
    fig=fig,
    title='Race',
    writer='pillow',
    fixed_max=True,
    fixed_order=['Probability_A', 'Probability B']
)
ax.set_xticks(np.linspace(0, 1, 10))
plt.show()

答案2

得分: 0

以下是翻译好的部分：

1. "The amount of decimal places for the bar labels is hard-coded to zero in the current version 0.1.0 of the package."

   • "当前包的版本0.1.0中，柱形标签的小数位数是硬编码为零。"

2. "The latest version 0.2.0 of bar_chart_race is not available via PIP yet, but can be installed in other ways (see last answer):"

   • "bar_chart_race的最新版本0.2.0尚不可通过PIP获得，但可以通过其他方式进行安装（请参见最后的回答）。"

3. "Terminal:"

   • "终端："

4. "pip uninstall bar_chart_race"

   • "pip卸载 bar_chart_race"

5. "pip install git+https://github.com/dexplo/bar_chart_race"

   • "pip安装 git+https://github.com/dexplo/bar_chart_race"

6. "With this latest version, you can add the keyword bar_texttemplate='{x:,.2f}' to get two decimal places (but some other keywords like "label_bars" and "dpi" have to be removed)."

   • "使用这个最新版本，您可以添加关键字 bar_texttemplate='{x:,.2f}' 以获得两位小数（但必须删除一些其他关键字，如“label_bars”和“dpi”）。"

7. "Same goes for the xtick-labels via tick_template="{x:,.2f}":"

   • "对于xtick标签也是一样的，使用 tick_template="{x:,.2f}"："

8. "import pandas as pd"

   • "导入 pandas as pd"

9. "import matplotlib.pyplot as plt"

   • "导入 matplotlib.pyplot as plt"

10. "import bar_chart_race as bcr"

    • "导入 bar_chart_race as bcr"

11. "import numpy as np"

    • "导入 numpy as np"

12. "N = 20"

    • "N = 20"

13. "data = pd.DataFrame(...)"

    • "data = pd.DataFrame(...)"

14. "Set the index to the starting capital of A"

    • "将索引设置为A的初始资本"

15. "Create the animated bar chart race"

    • "创建动态条形图赛"

16. "bcr.bar_chart_race(...)"

    • "bcr.bar_chart_race(...)"

17. "1: https://github.com/dexplo/bar_chart_race/issues/26"

    • "1: https://github.com/dexplo/bar_chart_race/issues/26"

18. "2: https://i.stack.imgur.com/SXoJb.gif"

    • "2: https://i.stack.imgur.com/SXoJb.gif"

pip uninstall bar_chart_race
pip install git+https://github.com/dexplo/bar_chart_race

import pandas as pd
import matplotlib.pyplot as plt
import bar_chart_race as bcr
import numpy as np

N = 20
data = pd.DataFrame(
    {
        "Initial captial of A": np.arange(N),
        "Probability_A": np.linspace(0, 1, N),
        "Probability B": np.linspace(1, 0, N),
    }
)
# Set the index to the starting capital of A
data = data.set_index("Initial captial of A")

# Create the animated bar chart race
bcr.bar_chart_race(
    df=data,
    filename="race.gif",
    interpolate_period=True,
    writer="pillow",
    fixed_max=True,
    bar_texttemplate="{x:,.2f}",
    tick_template="{x:,.2f}",
)