Spaces:
Sleeping
Sleeping
File size: 3,152 Bytes
bcad657 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
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
|