Метод 1: использование Matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# Create a DataFrame
data = {'A': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)
# Plot histogram with title
plt.hist(df['A'])
plt.title("Histogram of Column A")
plt.show()
Метод 2: использование оболочки Pandas
import pandas as pd
# Create a DataFrame
data = {'A': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)
# Plot histogram with title
df['A'].plot.hist(title="Histogram of Column A")
Метод 3: использование Seaborn
import pandas as pd
import seaborn as sns
# Create a DataFrame
data = {'A': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)
# Plot histogram with title
sns.histplot(data=df, x='A')
plt.title("Histogram of Column A")
plt.show()
Метод 4: использование Plotly
import pandas as pd
import plotly.express as px
# Create a DataFrame
data = {'A': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)
# Plot histogram with title
fig = px.histogram(df, x='A')
fig.update_layout(title="Histogram of Column A")
fig.show()
Метод 5: использование Альтаира
import pandas as pd
import altair as alt
# Create a DataFrame
data = {'A': [1, 2, 3, 4, 5]}
df = pd.DataFrame(data)
# Plot histogram with title
alt.Chart(df).mark_bar().encode(
x='A',
y='count()',
).properties(title="Histogram of Column A").show()