plot_data.py

import streamlit as st
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl


def plot_filtered(df, time_column, data_column, t1, t2, scatter):
    
    filtered_df = df[(df[time_column] >= t1) & (df[time_column] <= t2)]
    
    fig, ax = plt.subplots(figsize=(8, 5))

    mpl.rcParams['font.family'] = 'Arial'

    plt.yticks(fontname="Arial", fontsize=14, color="black")
    plt.xticks(fontname="Arial", fontsize=14, color = "black")
    plt.title(" ",fontname="Arial", fontsize=18, color="black", weight="bold", pad=10)

    gridwidth = 1.5
    plt.grid(axis="y", linewidth=0.75, color="black")
    plt.grid(axis="x", linewidth=0.75, color="black")

    rand = ["top", "right", "bottom", "left"]
    for i in rand:
        plt.gca().spines[i].set_linewidth(gridwidth)
        ax.spines[i].set_color('black')

    if scatter:
        plt.scatter(filtered_df[time_column], filtered_df[data_column], color="#00509b", marker=".", s=15)
    else:
        plt.plot(filtered_df[time_column], filtered_df[data_column], color="#00509b", linewidth=2)
    plt.legend([data_column], fontsize=14)

    return fig
        

def plot_filtered_mehrfach(df, time_column, data_column, data_column2, t1, t2):
    
    filtered_df = df[(df[time_column] >= t1) & (df[time_column] <= t2)]
    
    fig, ax = plt.subplots(figsize=(8, 5))

    mpl.rcParams['font.family'] = 'Arial'

    plt.yticks(fontname="Arial", fontsize=14, color="black")
    plt.xticks(fontname="Arial", fontsize=14, color = "black")
    plt.title(" ",fontname="Arial", fontsize=18, color="black", weight="bold", pad=10)

    gridwidth = 1.5
    plt.grid(axis="y", linewidth=0.75, color="black")
    plt.grid(axis="x", linewidth=0.75, color="black")

    rand = ["top", "right", "bottom", "left"]
    for i in rand:
        plt.gca().spines[i].set_linewidth(gridwidth)
        ax.spines[i].set_color('black')

    plt.plot(filtered_df[time_column], filtered_df[data_column], color="#00509b", linewidth=2)
    plt.plot(filtered_df[time_column], filtered_df[data_column2], color="red", linewidth=2)
    plt.legend([data_column, data_column2],  fontsize=14)

    return fig

def plot_data_matplotlib(df, time_column, data_column):
    
    fig, ax = plt.subplots(figsize=(8, 5))

    mpl.rcParams['font.family'] = 'Arial'

    ax.set_xlabel(time_column, fontname="Arial", fontsize=16, labelpad=7)
    ax.set_ylabel(data_column, fontname="Arial", fontsize=16, labelpad=7)
    plt.yticks(fontname="Arial", fontsize=14, color="black")
    plt.xticks(fontname="Arial", fontsize=14, color = "black")
    plt.title(" ",fontname="Arial", fontsize=18, color="black", weight="bold", pad=10)

    gridwidth = 1.5
    plt.grid(axis="y", linewidth=0.75, color="black")
    plt.grid(axis="x", linewidth=0.75, color="black")

    rand = ["top", "right", "bottom", "left"]
    for i in rand:
        plt.gca().spines[i].set_linewidth(gridwidth)
        ax.spines[i].set_color('black')

    plt.plot(df[time_column], df[data_column], color="#00509b", linewidth=2)

    return fig


def plot_data_zeitfaktor(df, time_column, data_column, scatter):
    
    fig, ax = plt.subplots(figsize=(8, 5))


    mpl.rcParams['font.family'] = 'Arial'

    ax.set_xlabel(time_column, fontname="Arial", fontsize=16, labelpad=7)
    ax.set_ylabel(data_column, fontname="Arial", fontsize=16, labelpad=7)
    plt.yticks(fontname="Arial", fontsize=14, color="black")
    plt.xticks(fontname="Arial", fontsize=14, color = "black")
    plt.title(" ",fontname="Arial", fontsize=18, color="black", weight="bold", pad=10)

    gridwidth = 1.5
    plt.grid(axis="y", linewidth=0.75, color="black")
    plt.grid(axis="x", linewidth=0.75, color="black")

    rand = ["top", "right", "bottom", "left"]
    for i in rand:
        plt.gca().spines[i].set_linewidth(gridwidth)
        ax.spines[i].set_color('black')

    if scatter:
        plt.scatter(df[time_column], df[data_column], color="#00509b", marker=".", s=5)
    else:
        plt.plot(df[time_column], df[data_column], color="#00509b", linewidth=2)

    return fig