Pandas NumPy

This function accepts a DataFrame and the names of x and y columns, randomly selects a chart type (scatter plot, line plot, bar plot, histogram), and draws it with random colors.

Python Function 2024-12-16 12:17:06 14 views

Seaborn Numpy

This function generates a scatter plot using the Seaborn library. The data for the scatter plot is created using random data generated by the Numpy library.

The type of code 2024-12-16 12:17:05 16 views

The code

This code defines a function named `random_candlestick_plot` that uses the `candlestick_ohlc` function from the seaborn library to generate a random candlestick chart of stock prices. The function accepts stock data, a date column, and a price column as inputs.

The type of code 2024-12-16 12:16:35 13 views

Seaborn NumPy

This function generates a random plot using Seaborn based on the provided dataframe and parameters. The function first checks if the hue parameter is provided; if not, it randomly selects a column as the hue. Then, the function randomly chooses a plot type and creates the corresponding plot.

The type of code 2024-12-16 12:16:20 10 views

Seaborn Pandas

This function uses the Seaborn library's catplot function to draw a boxplot of a randomly selected categorical variable against a numerical variable. If there is a categorical variable in the data, a grouping variable for color can also be selected.

The type of code 2024-12-16 12:16:18 11 views

Seaborn Matplotlib

This function uses Seaborn's regplot to generate a linear regression plot and uses a randomly generated color. It first sets the plot style, then creates a regression plot, and finally displays the chart.

The type of code 2024-12-16 12:15:52 10 views

seaborn numpy

This function uses the histplot function from the seaborn library to plot the distribution of a dataset, and at the same time overlays a Kernel Density Estimate (KDE) by setting the kde parameter to True, thus more intuitively showing the probability density of the data.

The type of code 2024-12-16 12:15:25 8 views

Seaborn Numpy

This function uses the Seaborn library to generate a bar plot, where you can specify the x-axis and y-axis data, as well as an optional color for grouping. The function first converts the data into a DataFrame and then plots a bar plot based on these parameters.

The type of code 2024-12-16 12:15:06 7 views

seaborn numpy

This function uses the seaborn library to generate a pointplot, which is a type of chart used to show the relationship between categorical variables and numerical variables. The function randomly selects two columns from the given data as the x-axis and y-axis, and uses the third column as the grouping variable.

The type of code 2024-12-16 12:14:56 7 views

Packages and

This function uses Seaborn's catplot to draw a bar chart, with the color of the points being a randomly generated hex color.

The type of code 2024-12-16 12:14:55 11 views