Draw the box-plot diagram for the given data.Data 80, 90, 85, 70, 60, 90, 95, 60, 75, 70, 80, 85, 90, 85, 95, 20, 75, 80, 85, 70
时间: 2023-07-02 17:07:38 浏览: 51
Here is the box-plot diagram for the given data:
```
20 *
60 * *
70 * | * |
75 | |
80 * | * * |
85 * | * * * |
90 * | * * |
95 * | * |
--|--|--|--|--
1 2 3 4
```
In this diagram, the box extends from the lower quartile (Q1) to the upper quartile (Q3), with a line at the median (Q2). The whiskers extend from the box to the minimum and maximum values within 1.5 times the interquartile range (IQR). Any data points outside of this range are shown as individual points (outliers).
相关问题
Open the first file and push data in numpy.array for plotting -ray diffraction diagram.
Sure! Here is an example code to read the data and plot the X-ray diffraction diagram using matplotlib:
```python
import numpy as np
import matplotlib.pyplot as plt
filename = "drx-sample1.xy"
data = np.loadtxt(filename)
# Print the shape of the data array and the first 5 elements
print(data.shape)
print(data[:5])
# Plot the X-ray diffraction diagram
x = data[:, 0]
y = data[:, 1]
plt.plot(x, y)
plt.xlabel("2θ")
plt.ylabel("Intensity")
plt.title("X-ray Diffraction")
plt.show()
```
In this code, we first import numpy and matplotlib libraries. Then, we use the `loadtxt()` function from numpy to read the data from the file "drx-sample1.xy" and store it in a numpy array called `data`.
We then print the shape of the data array and the first 5 elements to verify that the data has been read correctly.
Finally, we plot the X-ray diffraction diagram using the data from the array. We extract the X and Y data from the array using indexing and plot them using the `plot()` function from matplotlib. We also add labels to the X and Y axes and a title to the plot using the `xlabel()`, `ylabel()`, and `title()` functions.
You can copy and paste this code in your Python environment and run it to plot the X-ray diffraction diagram for the first file.
plot(data.Year, data.Value);
As an AI language model, I do not have access to the data you are referring to. However, assuming that you have a data frame or a data set named `data` and it contains columns named `Year` and `Value`, the code `plot(data.Year, data.Value)` will create a scatterplot of the values in the `Value` column against the corresponding years in the `Year` column. The `plot()` function is a basic graphical function in R that is used to create a scatterplot or line plot of two variables.
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