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The men’s decathlon event at the 1984 Summer Olympics in Los Angeles, California, involved a total of six track and field events, with a maximum of seven points possible. The finals of the decathlon were held on August 6, 1984.

Medalists

Results
Key: DNS = Did not start; DSQ = Disqualified

Qualification

See also
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1983 Men’s World Championships Decathlon
1984 Friendship Games Decathlon

References

External links
Men’s Decathlon Olympic Review

Decathlon
Category:Athletics at the Summer Olympics
Category:Men’s decathlonJim Sensenig

James Edward Sensenig (born April 26, 1942) is an American politician of the Democratic Party. He served in the Nebraska Legislature from 1990 until 2001.

Biography
Sensenig was born in 1952 in Omaha, Nebraska. He attended the University of Nebraska–Lincoln and the University of Nebraska–Kearney. From 1974 to 1976, Sensenig was an aide to former U.S. Senator George McGovern. He subsequently worked for the Omaha World-Herald, the Catholic World-Herald, and the Omaha-based political newsletter, The Wire. From 1988 to 1989, Sensenig served as Director of the Nebraska State Department of Public Aid. From 1978 to

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Q:

Pasting multiple plots to one continuous but still separately named figure

Can anyone point me to the solution for the following (note: do not assume the data are equally spaced):
I want to plot two sets of data (triangles) in one figure (i.e. each plot should have its own axis), but now I want to plot the datasets at non-equally spaced intervals. However, whenever I try to paste two subplots to one continuous figure with subplots.tight = True, only the last plot is being used.
CODE:
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

data = pd.DataFrame({‘x1’ : [1,2,3,4,5,6], ‘x2’ : [2,2,3,4,5,6]})

fig, axes = plt.subplots(2)

axes[0].scatter(data[‘x1’], data[‘x2’])
axes[1].scatter(data[‘x1’], data[‘x2’])

fig.tight_layout()

plt.show()

So for the code above, I would want something like:

But the actual results I get are:

A:

When you use axes[0].scatter(data[‘x1’], data[‘x2’]), you specify all the data to be plotted, and all the scatter plots will have the same x_lims and y_lims for all the points. You can use other means of marking the x_lims, such as for the x_lims specify index = [x1_val[0], x1_val[-1]], for the x_lims specify y_min, x_max, or for the x_lims and y_lims

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B cells express a functional Rab11 GTPase that localizes to the plasma membrane and is required for efficient internalization of coated immune complexes from the plasma membrane. Previous work indicates that Rab11 GTPase and Rab11 effector proteins are recruited to the immunological synapse during conjugate formation. In this study, we show that as heterologous dominant-negative mutants of Rab11 are expressed in B cells, antigen-induced calcium rises are attenuated. By contrast, expression of a constitutively active mutant of Rab11 results in increased calcium responses. Antigen-stimulated phosphatidyl inositol hydrolysis is not affected by dominant-negative expression of Rab11, and recruitment of Ca2+/calmodulin-dependent phosphatase II is not impaired in cells expressing dominant-negative Rab11. Thus, the inhibitory effects on antigen-induced calcium rises are probably attributable to Rab11-dependent effector proteins in B cells.The present invention relates generally to fluid control valves and, in particular, to a floating diaphragm valve for controlling fluids in a system which includes a hydrostatic transmission.
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