check

Messungen/preprocessing.py

@@ -1,100 +0,0 @@
-import pandas as pd
-import matplotlib.pyplot as plt
-import os
-import matplotlib as mpl
-import numpy as np
-
-# Die Milltap hatte einen globalen Fehler von 20 µm. Dieser muss von den Messwerten abgezogen werden.
-offset = 0
-
-def preprocess_data(csv, x_set):
-    
-    df = pd.read_csv(csv, sep=",", encoding="utf-16", header=None)
-    df.columns = ['x', 'y', 'z']
-    
-    # slicing
-    df = df.iloc[:16000]
-    df = df[(df['y'] > -31) & (df['y'] < -2)] 
-    df = df[(df['x'] > -5.5) & (df['x'] < 5.5)]
-    
-    # transform x, y, z
-    df["x"] = df["x"] +7.5      # in the raw data, X = 0 is in the middle of the workpiece-width. Shift X to the left by 7.5 mm to have X = 0 at the left edge of the workpiece.
-    df["y"] = df["y"] * (-1)    # flip the y-axis
-    df['z'] = df['z'] - (1.5 + offset)        # the radius of the tip of the measuring device is 1.5 mm and needs to be substracted from z
-    
-
-    # These are the constant X values for the slicing, where the measuring probe actually moves along the y-axis:
-    x_values = [2.4, 3, 3.6, 4.2, 4.8, 5.4, 6, 6.6, 7.2, 7.8, 8.4, 9, 9.6, 10.2, 10.8, 11.4, 12, 12.6]
-    tol = 0.1
-    i = 0
-
-    x_value = x_values[x_set]
-
-    data = df[(df['x'] > x_value-tol) & (df['x'] < x_value+tol)]
-
-    fivetothirty = data[data['y'] > 5]
-    fivetothirty = fivetothirty[0:500]
-    
-    return data, x_value, fivetothirty
-
-
-def plot_timeseries(csv, x_set):
-
-    data, x_value, fivetothirty = preprocess_data(csv, x_set)
-
-    x = data["y"]
-    y = data["z"]
-
-    fig, ax = plt.subplots(figsize=(8, 4))
-    
-    ax.set_ylim(3.23, 3.275)
-    ax.set_xlim(2, 31)
-    
-    mpl.rcParams['font.family'] = 'Arial'
-    mpl.rcParams['font.size'] = 30
-
-    ax.set_xlabel("Bauteillänge [mm]", fontname="Arial", fontsize=16, labelpad=7)
-    ax.set_ylabel("Bauteilhöhe Z [mm]", fontname="Arial", fontsize=16, labelpad=7)
-    plt.yticks(np.arange(3.23, 3.271, step=0.01), fontname="Arial", fontsize=14, color="black")
-    plt.xticks(range(5, 31, 5), fontname="Arial", fontsize=14, color = "black")
-
-    """
-    xticks = ax.get_xticks()
-    xticklabels = [str(int(x)) if x != xticks[-2] else "mm" for x in xticks]
-    ax.set_xticklabels(xticklabels)
-    """
-
-    plt.title("Oberfläche bei X = {} mm".format(x_value),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(x, y, color="#00509b", linewidth=1.5)
-
-    tolerance = 0.012
-    # Define the tolerance range
-    tolerance_lower = 3.25-tolerance
-    tolerance_upper = 3.25+tolerance
-
-    ax.fill_between(x, tolerance_lower, tolerance_upper, color='gray', alpha=0.1)
-
-    # Check if the plot is within tolerance
-    within_tolerance = all(tolerance_lower <= val <= tolerance_upper for val in y)
-
-    tolerance = None 
-    if within_tolerance:
-        tolerance = True
-    else:
-        tolerance = False
-
-    
-
-    return fig, tolerance, y, fivetothirty
-
-