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Plot Function

The code defines a function called plot that takes two parameters: columns_to_plot and df. it plot all the selected columns in the data frame

plot(columns_to_plot, df)

The plot_threshold function is a custom function that plots the values of specified columns in a DataFrame over a specified time range.

plot_threshold(columns_to_plot, df, start_time, end_time)

plot_threshold_same_plot(columns_to_plot, df, start_time, end_time, existing_plt=None, y_min=None, y_max=None,i=0)

print_times_near_threshold(columns_to_plot, df, start_time, end_time, threshold=3.6, tolerance=0.01)

Plot All Function

The code defines a function called plotAll that takes a data frame as input & Plot all the parameter along the time axis.

plotAll(data_frame)

The code defines a function called convert_to_linear_time that takes a string representing a date and time as input & convert it into linear Time.

convert_to_linear_time(date_time_str)

The code defines a function called max_threshold that takes four parameters: columns_for_max, df, start_time, and end_time. The function max_threshold takes a list of column indices, a DataFrame, a start time, and an end time, and returns the maximum values for the specified columns within the specified time range.

  • A list of column indices for which you want to find the maximum or minimun values in the dataframe
  • The parameter df is a pandas DataFrame that contains the data you want to analyze. It is assumed that the DataFrame has a column named "Zeit" that represents the time values
  • The start time is the lower bound of the time range you want to filter the dataframe on. It represents the earliest time you want to include in the analysis
  • The end_time parameter is the maximum time value for which you want to filter the data
  • return a list of maximum values for the specified columns in the given dataframe within the specified time range.
 max_threshold(columns, df, start_time, end_time)
 min_threshold(columns, df, start_time, end_time)

crop_values(columns, df, start_time, end_time, startvalue, endvalue)

Plot All Dates

function to take an array of DataFrames and plot the specified columns from each DataFrame in a single plot

def plotAllDates( columns_to_plot,dataframes):
    for df in dataframes:
        for col_idx in columns_to_plot:
            col_name = df.columns[col_idx]
            plt.figure(figsize=(10, 6))  # Adjust the figure size as needed
            plt.plot(df["Zeit"], df.iloc[:, col_idx])
            plt.xlabel("Time")
            plt.ylabel(col_name)
            plt.title(f"Column {col_name} Over Time")
            plt.grid(True)
            #plt.xticks(rotation=90)  # Rotate x-axis labels for better readability
            plt.xticks([])  # Hide x-axis tick labels
            #plt.yticks([])  # Hide y-axis tick labels
            plt.tight_layout()
            plt.show()